Tootfinder

#pastpuzzle 381
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4/4 🟩
https://www.pastpuzzle.de
Ciddle - A Daily City Riddle

digg_reply: Digg reply network (2008)
Network of replies among users of digg.com. Each node in the network is a digg user, and each directed edge indicates that user i replied to user j.
This network has 30398 nodes and 87627 edges.
Tags: Social, Online, Unweighted, Multigraph
https://networks.skewed.de/net/di…

This is an interesting study in how local conditions skew your perceptions, I'm actually surprised how *low* the numbers are, but I see in Denmark EVs are much higher than the rest of the EU, who also clearly have some catching up to do...
https://ec.social-network.europa.eu/@EUCommission/115354274303487490
EUCommission@ec.social-network.europa.eu - 👋 Watt’s up, Europe?
 
The numbers of electric vehicles sold in Europe in 2024 are in:
 
⚡ 1.45 million new battery-only EVs registered
📈 32% growth in the total electric fleet
🚗 Nearly 6 million e-vehicles on the road
🔋 13.6% of all new car registrations are electric
 
Europe is accelerating full throttle to a clean future.  
 
Read more: https://link.europa.eu/cNKjkh

📻 Run a legal LTE network at home for $100
#hacking

Legal LTE Network at Home for $100 - Lan Tian @ Blog

A Story About Bypassing Air Canada's In-flight Wifi Network Restrictions
https://ramsayleung.github.io/en/post/2025/a_story_about_bypassing_air_canadas_in-flight_network_restrictions/

The Washington Post names Sara Kehaulani Goo president of the Creator Network, the newest version of its "third newsroom", independent of the editorial newsroom (Washington Post)
https://www.washingtonpost.com/pr/2025/08/12/sara-keha…

Sara Kehaulani Goo named President of the Creator Network

Weekend Reads
* Fingerprinting DPI devices
https://arxiv.org/abs/2509.09081
* Exportation of China's GFW
https://

Fingerprinting Deep Packet Inspection Devices by Their Ambiguities
Users around the world face escalating network interference such as censorship, throttling, and interception, largely driven by the commoditization and growing availability of Deep Packet Inspection (DPI) devices. Once reserved for a few well-resourced nation-state actors, the ability to interfere with traffic at scale is now within reach of nearly any network operator. Despite this proliferation, our understanding of DPIs and their deployments on the Internet remains limited -- being network i…

#TIL this list exists: https://codeberg.org/fediverse/delightful-fediverse-experience

delightful-fediverse-experience
A curated list of server applications supported on the ActivityPub Fediverse and related standards.

Aktuelle @… ist echt nicht gut für die #Pflege und zerstört mit Inkompetenz, was Lauterbach mühsam aufgebaut hatte.

How are the #Perseids 2025 doing so far? Here are the current live plots from two different video camera network data published by https://globalmeteornetwork.org/flux/ and https://meteorflux.org/ resp. and from radio echo data published in https://jpn.iprmo.org/post/flash/per-2025.html - the peak is still ahead (and should arrive in a few hours).

Sea's Shopee is nearing a $100B market cap after its stock surged 300% since early 2024, driven by its in-house, community-based logistics network SPX Express (Bloomberg)
https://www.bloomberg.com/news/features/20

An entropy formula for the Deep Linear Network
Govind Menon, Tianmin Yu
https://arxiv.org/abs/2509.09088 https://arxiv.org/pdf/2509.09088

An entropy formula for the Deep Linear Network
We study the Riemannian geometry of the Deep Linear Network (DLN) as a foundation for a thermodynamic description of the learning process. The main tools are the use of group actions to analyze overparametrization and the use of Riemannian submersion from the space of parameters to the space of observables. The foliation of the balanced manifold in the parameter space by group orbits is used to define and compute a Boltzmann entropy. We also show that the Riemannian geometry on the space of obs…

System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
Sasa Maric, Rasil Baidar, Robert Abbas, Sam Reisenfeld
https://arxiv.org/abs/2508.05707

System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
The integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN), including 5G Advanced/6G and the Internet of Things (IoT) technologies, using Low Earth Orbit (LEO) satellites, high-altitude platforms (HAPS), and Unmanned Aerial Vehicles (UAVs), is redefining the landscape of global connectivity. This paper introduces a new system-level security framework for 5G Advanced/6G IoT-integrated TN-NTN architectures with AI-native-enabled cloud security. Due to the heterogeneity, scale…

Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
Amirhossein Taherpour, Abbas Taherpour, Tamer Khattab
https://arxiv.org/abs/2509.08654

Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
This paper presents a feature-based Partially Observable Markov Decision Process (POMDP) framework for quantum network routing, combining belief-state planning with Graph Neural Networks (GNNs) to address partial observability, decoherence, and scalability challenges in dynamic quantum systems. Our approach encodes complex quantum network dynamics, including entanglement degradation and time-varying channel noise, into a low-dimensional feature space, enabling efficient belief updates and scala…

FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
Sara Behnamian, Rasoul Khaksarinezhad, Andreas Langer
https://arxiv.org/abs/2509.08670

FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
We present FractalPINN-Flow, an unsupervised deep learning framework for dense optical flow estimation that learns directly from consecutive grayscale frames without requiring ground truth. The architecture centers on the Fractal Deformation Network (FDN) - a recursive encoder-decoder inspired by fractal geometry and self-similarity. Unlike traditional CNNs with sequential downsampling, FDN uses repeated encoder-decoder nesting with skip connections to capture both fine-grained details and long…

Minimality of Tree Tensor Network Ranks
Jana Jovcheva, Tim Seynnaeve, Nick Vannieuwenhoven
https://arxiv.org/abs/2509.09463 https://arxiv.org/pdf/2509.0946…

Minimality of Tree Tensor Network Ranks
For a given tree tensor network $G$, we call a tuple of bond dimensions minimal if there exists a tensor $T$ that can be represented by this network but not on the same tree topology with strictly smaller bond dimensions. We establish necessary and sufficient conditions on the bond dimensions of a tree tensor network to be minimal, generalizing a characterization of Carlini and Kleppe about existence of tensors with a given multilinear rank. We also show that in a minimal tree tensor network, t…

I think they meant 'car' but why let that detail get in the way of a headline? https://www.independent.co.uk/news/uk/home-news/perth-network-rail-b2824637.html @…

Rail disruption after train crashes on to track
The Highland Main Line reopened following the incident in Perth and Kinross at 9.40am.

Causal Inference Under Network Interference
Subhankar Bhadra, Michael Schweinberger
https://arxiv.org/abs/2508.06808 https://arxiv.org/pdf/2508.06808

Causal Inference Under Network Interference
We review and conceptualize recent advances in causal inference under network interference, drawing on a complex and diverse body of work that ranges from causal inference, statistical network analysis, economics, the health sciences, and the social sciences. Network interference arises in connected populations when the treatment assignments of units affect the outcomes of other units. Examples include economic, financial, and public health interventions with spillover in connected populations,…

Payment Channels with Proofs
Chad E. Brown, Cezary Kaliszyk, Josef Urban
https://arxiv.org/abs/2509.08268 https://arxiv.org/pdf/2509.08268

Payment Channels with Proofs
The fundamental building blocks of the Bitcoin lightning network are bidirectional payment channels. We describe an extension of payment channels in the Proofgold network which allow the two parties to bet on whether a proposition will be proven by a certain time. These provide the foundation for a Proofgold lightning network that would allow parties to request proofs (by betting there will be no proof by a certain time) and other parties to provide proofs (and be rewarded by betting there will…

Rethinking the Sioux Falls Network: Insights from Path-Driven Higher-Order Network Analysis
Chen Zhang, Timothy LaRock, Alben Rome Bagabaldo, J\"urgen Hackl
https://arxiv.org/abs/2508.06234

Rethinking the Sioux Falls Network: Insights from Path-Driven Higher-Order Network Analysis
Benchmark scenarios are widely used in transportation research to evaluate routing algorithms, simulate infrastructure interventions, and test new technologies under controlled conditions. However, the structural and behavioral fidelity of these benchmarks remains largely unquantified, raising concerns about the external validity of simulation results. In this study, we introduce a mathematical framework based on higher-order network models to evaluate the representativeness of benchmark networ…

Asymmetric Network Games: $\alpha$-Potential Function and Learning
Kiran Rokade, Adit Jain, Francesca Parise, Vikram Krishnamurthy, Eva Tardos
https://arxiv.org/abs/2508.06619 h…

Asymmetric Network Games: $α$-Potential Function and Learning
In a network game, players interact over a network and the utility of each player depends on his own action and on an aggregate of his neighbours' actions. Many real world networks of interest are asymmetric and involve a large number of heterogeneous players. This paper analyzes static network games using the framework of $α$-potential games. Under mild assumptions on the action sets (compact intervals) and the utility functions (twice continuously differentiable) of the players, we derive an…

from my link log —
Electricity transmission network unavailability: the cause of rising wind farm curtailment costs in Britain.
https://ukerc.ac.uk/news/transmission-network-unavailability-the-quiet-…

Transmission Network Unavailability – the Quiet Driving Force Behind Rising Curtailment Costs in Great Britain
In this blog, Callum MacIver and Keith Bell set out to dig a little deeper into the current state of wind curtailment.

Collaborative Computing Strategy Based SINS Prediction for Emergency UAVs Network
Bing Li, Haoming Guo, Zhiyuan Ren, Wenchi Cheng, Jialin Hu, Xinke Jian
https://arxiv.org/abs/2508.06864

Collaborative Computing Strategy Based SINS Prediction for Emergency UAVs Network
In emergency scenarios, the dynamic and harsh conditions necessitate timely trajectory adjustments for drones, leading to highly dynamic network topologies and potential task failures. To address these challenges, a collaborative computing strategy based strapdown inertial navigation system (SINS) prediction for emergency UAVs network (EUN) is proposed, where a two-step weighted time expanded graph (WTEG) is constructed to deal with dynamic network topology changes. Furthermore, the task schedu…

The Game is the Game: Dynamic network analysis and shifting roles in criminal networks
Daniel Catlin, Giulia Berlusconi, David J. B. Lloyd
https://arxiv.org/abs/2509.08028 https…

The Game is the Game: Dynamic network analysis and shifting roles in criminal networks
Objectives: This paper incorporates time as a crucial variable to identify key players in criminal networks and explores how actors' positions change over time. It then assesses the accuracy of the results against the uncertainty around network data collected from criminal justice records. Methods: Network data are from a judicial document for a two-year investigation targeting a drug trafficking and distribution network. We use Katz centrality in its dynamic version to explore changes in rel…

Fairfax County expands its bikeshare network to 94 stations, with more to come. While Montgomery County has been shrinking its 77-station network, despite having urbanized areas more conducive to bikeshare use than anywhere in Fairfax. https://www.ffxnow.com/2025/08/08/capit…

Capital Bikeshare expands to Herndon area, Huntington Metro station | FFXnow

polbooks: Political books network (2004)
A network of books about U.S. politics published close to the 2004 U.S. presidential election, and sold by Amazon.com. Edges between books represent frequent copurchasing of those books by the same buyers. The network was compiled by V. Krebs and is unpublished.
This network has 105 nodes and 441 edges.
Tags: Informational, Relatedness, Unweighted, Metadata

An Online Multi-dimensional Knapsack Approach for Slice Admission Control
Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun, Dimitrios Xenakis
https://arxiv.org/abs/2508.06468 h…

An Online Multi-dimensional Knapsack Approach for Slice Admission Control
Network Slicing has emerged as a powerful technique to enable cost-effective, multi-tenant communications and services over a shared physical mobile network infrastructure. One major challenge of service provisioning in slice-enabled networks is the uncertainty in the demand for the limited network resources that must be shared among existing slices and potentially new Network Slice Requests. In this paper, we consider admission control of Network Slice Requests in an online setting, with the g…

Wer vom #dotwatching nicht genug bekommt:
Seit heute läuft das Race Around Austria, in dessen Rahmen in diesem Jahr auch die Ultracycling Weltmeisterschaft ausgetragen wird:
https://race.perfect-tracking.com/rac…

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
Jingyi Gao, Di Wu, Baha lhnaini
https://arxiv.org/abs/2509.08860 https://…

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
Ultrasound image segmentation faces unique challenges including speckle noise, low contrast, and ambiguous boundaries, while clinical deployment demands computationally efficient models. We propose USEANet, an ultrasound-specific edge-aware multi-branch network that achieves optimal performance-efficiency balance through four key innovations: (1) ultrasound-specific multi-branch processing with specialized modules for noise reduction, edge enhancement, and contrast improvement; (2) edge-aware a…

The Landscape of Fairness: An Axiomatic and Predictive Framework for Network QoE Sensitivity
Zhiyuan Ren, Xinke Jian, Wenchi Cheng, Kun Yang
https://arxiv.org/abs/2509.08551 htt…

The Landscape of Fairness: An Axiomatic and Predictive Framework for Network QoE Sensitivity
Evaluating network-wide fairness is challenging because it is not a static property but one highly sensitive to Service Level Agreement (SLA) parameters. This paper introduces a complete analytical framework to transform fairness evaluation from a single-point measurement into a proactive engineering discipline centered on a predictable sensitivity landscape. Our framework is built upon a QoE-Imbalance metric whose form is not an ad-hoc choice, but is uniquely determined by a set of fundamental…

Network-Specific Models for Multimodal Brain Response Prediction
Andrea Corsico, Giorgia Rigamonti, Simone Zini, Luigi Celona, Paolo Napoletano
https://arxiv.org/abs/2508.06499 …

Network-Specific Models for Multimodal Brain Response Prediction
In this work, we present a network-specific approach for predicting brain responses to complex multimodal movies, leveraging the Yeo 7-network parcellation of the Schaefer atlas. Rather than treating the brain as a homogeneous system, we grouped the seven functional networks into four clusters and trained separate multi-subject, multi-layer perceptron (MLP) models for each. This architecture supports cluster-specific optimization and adaptive memory modeling, allowing each model to adjust tempo…

OCTANE -- Optimal Control for Tensor-based Autoencoder Network Emergence: Explicit Case
Ratna Khatri, Anthony Kolshorn, Colin Olson, Harbir Antil
https://arxiv.org/abs/2509.08169

OCTANE -- Optimal Control for Tensor-based Autoencoder Network Emergence: Explicit Case
This paper presents a novel, mathematically rigorous framework for autoencoder-type deep neural networks that combines optimal control theory and low-rank tensor methods to yield memory-efficient training and automated architecture discovery. The learning task is formulated as an optimization problem constrained by differential equations representing the encoder and decoder components of the network and the corresponding optimality conditions are derived via a Lagrangian approach. Efficient mem…

polbooks: Political books network (2004)
A network of books about U.S. politics published close to the 2004 U.S. presidential election, and sold by Amazon.com. Edges between books represent frequent copurchasing of those books by the same buyers. The network was compiled by V. Krebs and is unpublished.
This network has 105 nodes and 441 edges.
Tags: Informational, Relatedness, Unweighted, Metadata

Towards A High-Performance Quantum Data Center Network Architecture
Yufeng Xin, Liang Zhang
https://arxiv.org/abs/2509.09653 https://arxiv.org/pdf/2509.096…

Towards A High-Performance Quantum Data Center Network Architecture
Quantum Data Centers (QDCs) are needed to support large-scale quantum processing for both academic and commercial applications. While large-scale quantum computers are constrained by technological and financial barriers, a modular approach that clusters small quantum computers offers an alternative. This approach, however, introduces new challenges in network scalability, entanglement generation, and quantum memory management. In this paper, we propose a three-layer fat-tree network architectur…

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy, Toby D. Hocking
https://arxiv.org/abs/2509.09413

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Co-occurrence network inference algorithms have significantly advanced our understanding of microbiome communities. However, these algorithms typically analyze microbial associations within samples collected from a single environmental niche, often capturing only static snapshots rather than dynamic microbial processes. Previous studies have commonly grouped samples from different environmental niches together without fully considering how microbial communities adapt their associations when fac…

Relaying for a friend and colleague
Sr. Network Engineer (Akamai) - US based Remote person. The role is on the the Akamai backbone network engineering team. If you have experience with large scale MPLS and Traffic Engineering and would like to works on some large scale networking problems... https://jobs.akamai.com/en/sit…

https://www.tag24.de/thema/kommentar/kommentar-zum-einsturz-der-carolabruecke-in-dresden-autofahren-immer-unattraktiver-3419314

Generative Diffusion Contrastive Network for Multi-View Clustering
Jian Zhu, Xin Zou, Xi Wang, Ning Zhang, Bian Wu, Yao Yang, Ying Zhou, Lingfang Zeng, Chang Tang, Cheng Luo
https://arxiv.org/abs/2509.09527

Generative Diffusion Contrastive Network for Multi-View Clustering
In recent years, Multi-View Clustering (MVC) has been significantly advanced under the influence of deep learning. By integrating heterogeneous data from multiple views, MVC enhances clustering analysis, making multi-view fusion critical to clustering performance. However, there is a problem of low-quality data in multi-view fusion. This problem primarily arises from two reasons: 1) Certain views are contaminated by noisy data. 2) Some views suffer from missing data. This paper proposes a novel…

A neural drift-plus-penalty algorithm for network power allocation and routing
Ahmed Rashwan, Keith Briggs, Chris Budd
https://arxiv.org/abs/2509.09637 https://

A neural drift-plus-penalty algorithm for network power allocation and routing
The drift-plus-penalty method is a Lyapunov optimisation technique commonly applied to network routing problems. It reduces the original stochastic planning task to a sequence of greedy optimizations, enabling the design of distributed routing algorithms which stabilize data queues while simultaneously optimizing a specified penalty function. While drift-plus-penalty methods have desirable asymptotic properties, they tend to incur higher network delay than alternative control methods, especiall…

Physics-informed Multiresolution Wavelet Neural Network Method for Solving Partial Differential Equations
Feng Han, Jianguo Wang, Guoliang Peng, Xueting Shi
https://arxiv.org/abs/2508.07546

Physics-informed Multiresolution Wavelet Neural Network Method for Solving Partial Differential Equations
In this paper, a physics-informed multiresolution wavelet neural network (PIMWNN) method is proposed for solving partial differential equations (PDEs). This method uses the multiresolution wavelet neural network (MWNN) to approximate unknown functions, then substituting the MWNN into PDEs and training the MWNN by least-squares algorithm. We apply the proposed method to various problems, including stationary/nonstationary advection, diffusion and advection-diffusion problems, and linear/nonlinea…

Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution
Xingkun Yin, Feiran You, Hongyang Du, Kaibin Huang
https://arxiv.org/abs/2509.08400 https://

Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution
We introduce ubiquitous intelligence as a paradigm where Large Language Models (LLMs) evolve within wireless network-driven ecosystems. Unlike static model deployments, this approach enables scalable and continuous intelligence ascension through coordination between networks and LLMs. Wireless networks support system-orchestrated lifelong learning, while LLMs drive the next-generation network development that is more adaptive and responsive. This co-evolution highlights a shift toward self-impr…

https://youtu.be/5v8SY_PAEdc
via https://piefed.social/post/1353338

jazz_collab: Jazz collaboration network
The network of collaborations among jazz musicians, and among jazz bands, extracted from The Red Hot Jazz Archive digital database, covering bands that performed between 1912 and 1940.
This network has 198 nodes and 2742 edges.
Tags: Social, Collaboration, Unweighted
https://

Ich finde ja das Foto von Herrn Ladzinski im Beitrag mal wieder ziemlich aussagekräftig, wenn auch nicht überraschend.
https://www.tag24.de/dresden/lokales/verbot-oder-nicht-neuer-streit-um-dresdner-ferienwohnungen-3427573

Verbot oder nicht? Neuer Streit um Dresdner Ferienwohnungen
Ein Wildwuchs von Ferienwohnungen in Dresden sorgt für Zoff im Stadtrat.

Scalable Network of Mach-Zehnder Interferometers with a Single Entangled Resource
Zhihui Yan, Yanni Feng, Luca Pezze, Zhaoqing Zeng, Jingxu Ma, Xiaoyu Zhou, Augusto Smerzi, Xiaojun Jia, Kunchi Peng
https://arxiv.org/abs/2509.08230

Scalable Network of Mach-Zehnder Interferometers with a Single Entangled Resource
Distributed quantum sensing exploits entanglement to enhance the estimation of multiple parameters across a network of spatially-separated sensors, achieving sensitivities beyond the classical limit. Potential applications cover a plethora of technologies, from precision navigation to biomedical imaging and environmental monitoring. However, practical implementations are challenged by the complex optimal distribution of entanglement throughout the sensing nodes, which affects scalability and ro…

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion
Sofiane Bouaziz, Adel Hafiane, Raphael Canals, Rachid Nedjai
https://arxiv.org/abs/2508.06485

WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion
Urbanization, climate change, and agricultural stress are increasing the demand for precise and timely environmental monitoring. Land Surface Temperature (LST) is a key variable in this context and is retrieved from remote sensing satellites. However, these systems face a trade-off between spatial and temporal resolution. While spatio-temporal fusion methods offer promising solutions, few have addressed the estimation of daily LST at 10 m resolution. In this study, we present WGAST, a Weakly-Su…

hyves: Hyves friendship network (2010)
A network of friendships among users of Hyves, an online social networking site in the Netherlands (comparable to Facebook at the time). Nodes represent users and an edge exists if two users are friends. These data were crawled in December 2010.
This network has 1402673 nodes and 2777419 edges.
Tags: Social, Online, Unweighted

Da begeht man eine Straftat und redet dann noch mit der Presse darüber. Diese Autofahrer können sich echt alles erlauben!
https://www.focus.de/auto/muenchner-anwohner-verweigern-parkverbot-hab…

Diagonalizing large-scale quantum many-body Hamiltonians using variational quantum circuit and tensor network
Peng-Fei Zhou, Shuang Qiao, An-Chun Ji, Shi-Ju Ran
https://arxiv.org/abs/2508.06159

Diagonalizing large-scale quantum many-body Hamiltonians using variational quantum circuit and tensor network
Exact diagonalization (ED) is an essential tool for exploring quantum many-body physics but is fundamentally limited by the exponentially-scaled computational complexity. Here, we propose tensor network variational diagonalization (TNVD), which encodes the full eigenenergy spectrum of a quantum many-body Hamiltonian into a matrix product state, and encodes the eigenstates as the evolutions of product states using variational quantum circuit (VQC). Thereby, TNVD reduces the computational complex…

polblogs: Political blogs network (2004)
A directed network of hyperlinks among a large set of U.S. political weblogs from before the 2004 election. Includes blog political affiliation as metadata.
This network has 1490 nodes and 19090 edges.
Tags: Informational, Web graph, Unweighted, Metadata
https://networks.skewed.d…

Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network
Liangjin Liu, Haoyang Zheng, Pei Zhou
https://arxiv.org/abs/2509.08661

Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network
Isolated Sign Language Recognition (ISLR) is challenged by gestures that are morphologically similar yet semantically distinct, a problem rooted in the complex interplay between hand shape and motion trajectory. Existing methods, often relying on a single reference frame, struggle to resolve this geometric ambiguity. This paper introduces Dual-SignLanguageNet (DSLNet), a dual-reference, dual-stream architecture that decouples and models gesture morphology and trajectory in separate, complementa…

polblogs: Political blogs network (2004)
A directed network of hyperlinks among a large set of U.S. political weblogs from before the 2004 election. Includes blog political affiliation as metadata.
This network has 1490 nodes and 19090 edges.
Tags: Informational, Web graph, Unweighted, Metadata
https://networks.skewed.d…

fao_trade: FAO Multiplex Trade Network
Multiplex network representing trade relationships between countries from the Food and Agricultural Organization of the United Nations. Countries are nodes and edge types represent import/export of varying products. Data hosted by Manlio De Domenico.
This network has 214 nodes and 318346 edges.
Tags: Economic, Trade, Weighted, Multilayer

Dual-Thresholding Heatmaps to Cluster Proposals for Weakly Supervised Object Detection
Yuelin Guo, Haoyu He, Zhiyuan Chen, Zitong Huang, Renhao Lu, Lu Shi, Zejun Wang, Weizhe Zhang
https://arxiv.org/abs/2509.08289

Dual-Thresholding Heatmaps to Cluster Proposals for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) has attracted significant attention in recent years, as it does not require box-level annotations. State-of-the-art methods generally adopt a multi-module network, which employs WSDDN as the multiple instance detection network module and multiple instance refinement modules to refine performance. However, these approaches suffer from three key limitations. First, existing methods tend to generate pseudo GT boxes that either focus only on discriminative …

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 20818 edges.
Tags: Social, Offline, Unweighted, Temporal
https://networks.skewed.de/net/sp_hype…

Gleich 200 neue Fälle #PMKLinks für die nächste polizeiliche Kriminalitätsstatistik.
https://www.dnn.de/lokales/mittelsach…

Adenauer-Bus in Döbeln: Polizei ermittelt wegen Online-Verleumdungen
Der in Döbeln beschlagnahmte „Adenauer Protestbus“ sorgt weiter für Aufsehen. Die Polizei ermittelt jetzt auch wegen Hunderter Internetposts. Welche Straftatbestände stehen im Raum?

livemocha: Livemocha friendship network (2010)
A network of friendships among users on Livemocha, a large online language learning community. Nodes represent users and edges represent a mutual declaration of friendship.
This network has 104103 nodes and 2193083 edges.
Tags: Social, Online, Unweighted
https://ne…

Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI
Zheng Yang, Yanteng Zhang, Xupeng Kou, Yang Liu, Chao Ren
https://arxiv.org/abs/2509.08243

Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI
Structural magnetic resonance imaging (sMRI) combined with deep learning has achieved remarkable progress in the prediction and diagnosis of Alzheimer's disease (AD). Existing studies have used CNN and transformer to build a well-performing network, but most of them are based on pretraining or ignoring the asymmetrical character caused by brain disorders. We propose an end-to-end network for the detection of disease-based asymmetric induced by left and right brain atrophy which consist of 3D CN…

yeast_transcription: Yeast transcription network (2002)
Network of operons and their pairwise interactions, via transcription factor-based regulation, within the yeast Saccharomyces cerevisiae.
This network has 916 nodes and 1094 edges.
Tags: Biological, Gene regulation, Unweighted
https://networks.sk…

Dank Universalzahl schnell zum Ziel...
#pastpuzzle 146
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2/4 🥈
https://www.pastpuzzle.de

flickr_growth: Flickr friendship network (2008)
A network of declared friendships among Frickr users. Nodes represent Frickr users and a directed edge (i,j) represents a directed declaration of friendship from i to j. Edges are timestamped.
This network has 2302925 nodes and 33140017 edges.
Tags: Social, Online, Unweighted, Timestamps
h…

windsurfers: Windsurfers network (1986)
A network of interpersonal contacts among windsurfers in southern California during the Fall of 1986. The edge weights indicate the perception of social affiliations majored by the tasks in which each individual was asked​ to sort cards with other surfer’s name in the order of closeness.
This network has 43 nodes and 336 edges.
Tags: Social, Offline, Weighted

dbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted

sp_hypertext: Hypertext 2009 dynamic contact network
The temporal network of contacts among attendees of the ACM Hypertext 2009 conference, which spanned 2.5 days of time.
This network has 113 nodes and 20818 edges.
Tags: Social, Offline, Unweighted, Temporal
https://networks.skewed.de/net/sp_hype…

dbpedia_genre: DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 266717 nodes and 463497 edges.
Tags: Informational, Relatedness, Unweighted

epinions_trust: Epinions trust network (2003)
A who-trusts-whom online social network of the general consumer review site Epinions.com. Members can decide whether to "trust" each other. These trust relationships are combined with review ratings to determine which reviews are shown to the user.
This network has 75888 nodes and 508837 edges.
Tags: Social, Online, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 410236 nodes and 3356824 edges.
Tags: Economic, Commerce, Unweighted

amazon_copurchases: Amazon co-purchasing network (2003)
Network of items for sale on amazon.com in 2003 and the items they "recommend" (via the "Customers Who Bought This Item Also Bought" feature). If one item is frequently co-purchased with another, then the first item recommends the second.
This network has 403394 nodes and 3387388 edges.
Tags: Economic, Commerce, Unweighted

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

wiki_rfa: Wikipedia RfA voting network (2013)
The set of all votes on Requests for Adminships (RfA), from 2003 to May 2013, represented as a directed, signed network in which nodes represent Wikipedia members and edges represent votes.
This network has 11381 nodes and 198275 edges.
Tags: Social, Relationships, Signed
https://

flickr_aminer: Flickr social graph
This network contains the social graph of flickr, a popular photo sharing network for users to upload photos and share photos, where a directed edge (i,j) means that user i follows user j.
This network has 214626 nodes and 9114557 edges.
Tags: Social, Online, Unweighted
https://

flickr_aminer: Flickr social graph
This network contains the social graph of flickr, a popular photo sharing network for users to upload photos and share photos, where a directed edge (i,j) means that user i follows user j.
This network has 214626 nodes and 9114557 edges.
Tags: Social, Online, Unweighted
https://

wordnet: WordNet relationships
A network of English words from the WordNet. Node is a word, and edge denotes relationships between words (synonymy, hyperonymy, meronymy, etc.). The date at which this network was extracted from WordNet is not unknown.
This network has 146005 nodes and 656999 edges.
Tags: Informational, Language, Unweighted
htt…

dblp_coauthor_snap: DBLP authors (2012)
A coauthorship network extracted from the DBLP computer science manuscript database, in 2012. This network is a one-mode projection from the bipartite graph of computer scientists and their publications.
This network has 425957 nodes and 1049866 edges.
Tags: Social, Collaboration, Unweighted, Metadata, Projection

livejournal_aminer: Livejournal social graph
This network contains the social graph of Livejournal, a free on-line social network where users can keep a blog, journal or diary, where a directed edge (i,j) means that user i follows user j.
This network has 3017286 nodes and 87037567 edges.
Tags: Social, Online, Unweighted
https://…

revolution: American Revolutionary groups (1765-1783)
A bipartite network of the memberships of notable people and organizations, from the American Revolution (1765-1783) between users and groups on YouTube, extracted from a larger YouTube network in 2007.
This network has 141 nodes and 160 edges.
Tags: Social, Affiliation, Unweighted
http…

gnutella: Gnutella p2p networks (2002)
A sequence of 9 snapshots of the Gnutella peer-to-peer file sharing network from 5-31 August 2002. Nodes are hosts in the Gnutella network topology and edges are connections between them.
This network has 26518 nodes and 65369 edges.
Tags: Technological, Peer-to-peer, Unweighted
https://

petster: Pet owner social networks (2016)
A network of friendships among users on catster.com and dogster.com. Node represents a user, and edge exists if two users self-identify as friends on either website. The dogster/catster network also contains family links between dog and dog, cat and cat, as well as dog and cat.
This network has 623766 nodes and 15699276 edges.
Tags: Social, Online, Unweighted

revolution: American Revolutionary groups (1765-1783)
A bipartite network of the memberships of notable people and organizations, from the American Revolution (1765-1783) between users and groups on YouTube, extracted from a larger YouTube network in 2007.
This network has 141 nodes and 160 edges.
Tags: Social, Affiliation, Unweighted
http…

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

macaque_neural: Macaque cortical connectivity (Young)
A network of cortical regions in the Macaque cortex.
This network has 47 nodes and 505 edges.
Tags: Biological, Connectome, Unweighted
https://networks.skewed.de/net/macaque_neural
Ridiculogram:

celegansneural: C. elegans neurons (1986)
A network representing the neural connections of the Caenorhabditis elegans nematode.
This network has 297 nodes and 2359 edges.
Tags: Biological, Connectome, Weighted
https://networks.skewed.de/net/celegansneural
Rid…

prosper: Prosper user loans (2016)
A network of loans between users on prosper.com, a pear-to-pear lending marketplace. Edge direction (i, j) denotes person i loaned money to person j.
This network has 89269 nodes and 3394979 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/prosper

sp_office: Workplace contacts (2013)
A temporal network of contacts between individuals, measured in an office building in France, from June 24 to July 3, 2013.
This network has 92 nodes and 9827 edges.
Tags: Social, Offline, Weighted, Temporal, Metadata
https://networks.skewed.de/net/sp_offi

google: Google internal webpages (2007)
A directed network of webpages from Google's own sites, and the hyperlinks among them. Edge direction indicates that i hyperlinks to j.
This network has 15763 nodes and 171206 edges.
Tags: Informational, Web graph, Unweighted
https://networks.skewed.de/net/google

plant_pol_robertson: Robertson plant-pollinator web
A bipartite network of plants and pollinators, from southwestern Illinois, USA.
This network has 1884 nodes and 15265 edges.
Tags: Biological, Food web, Unweighted
https://networks.skewed.de/net/plant_pol_robertson

adjnoun: Word adjacencies of David Copperfield
A network of word adjacencies of common adjectives and nouns in the novel "David Copperfield" by Charles Dickens.
This network has 112 nodes and 425 edges.
Tags: Informational, Language, Unweighted
https://networks.skewed.de/net/adjnoun

myspace_aminer: MySpace social graph
This network contains the social graph of MySpace, a social networking website which also has a strong music emphasis. A directed edge (i,j) means that user i follows user j.
This network has 854498 nodes and 6489736 edges.
Tags: Social, Online, Unweighted
https://netwo…

bible_nouns: Bible noun phrases
A network of noun phrases (places and names) in the King James Version of the Bible. Each node is a noun phrase, and an edge exists if the noun phrases co-occur in a Bible verse. Edge weight denotes how often the two words co-occur.
This network has 1773 nodes and 9131 edges.
Tags: Informational, Language, Weighted

power: Western US Power Grid
A network representing the Western States Power Grid of the United States, in which nodes are transforms or power relay points and two nodes are connected if a power line runs between them.
This network has 4941 nodes and 6594 edges.
Tags: Technological, Power grid, Unweighted
https://networks.…

yahoo_ads: Yahoo! advertisement words
A network of words extracted from phrases on which advertisers bid, in Yahoo! advertisements. A node is a word and a directed edge (i, j) denotes word i comes after the word j.
This network has 653260 nodes and 2931708 edges.
Tags: Informational, Language, Unweighted
https://

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
https://netwo…

digg_votes: Digg story votes (2009)
A bipartite network between users and stories on digg.com from 2009. Each user node connects to all story nodes on which that user voted. Edges are timestamped.
This network has 142962 nodes and 3018197 edges.
Tags: Economic, Preferences, Multigraph, Timestamps
https://netwo…

dutch_criticism: Dutch literacy criticism (1976)
A network of criticisms among Dutch literary authors in 1976. The directed edge (i,j) denotes that an author i passed judgment on author j's work in an interview or review.
This network has 35 nodes and 81 edges.
Tags: Social, Offline, Unweighted
https://

contiguous_usa: Contiguous states (USA)
A network of contiguous states in the USA, in which each state is a node and two nodes are connected if they share a land-based geographic border. The dataset includes the lower 48 states, and the District of Columbia.
This network has 49 nodes and 107 edges.
Tags: Transportation, Roads, Unweighted

new_guinea_tribes: New Guinea Highlands tribes (1954)
A network of friendships among tribes of Gahuku-Gama alliance structure of the Eastern Central Highlands region in New Guinea. Edge sign indicates either friendship ("rova") or enmity ("hint”).
This network has 16 nodes and 58 edges.
Tags: Social, Offline, Signed
h…

reactome: Joshi-Tope human protein interactome (2005)
A network of human proteins and their binding interactions, extracted from Reactome project. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 6327 nodes and 147547 edges.
Tags: Biological, Protein interactions, Unweighted
https:/…

bitcoin: Bitcoin transactions (2009-2013)
A network of Bitcoin transactions spanning January 2009 to April 2013. Nodes are public-key "addresses" at some time within the given period, and each edge is marked with the time (at a resolution of seconds) of the transaction.
This network has 6336770 nodes and 16057711 edges.
Tags: Economic, Cryptocurrency, Unweighted, Timestamps

elite: Barnes-Burkett elite affiliations (1962)
A small bipartite network of the affiliations among elite individuals and the corporate, museum, university boards, or social clubs to which they belonged, from 1962.
This network has 44 nodes and 99 edges.
Tags: Social, Affiliation, Unweighted
https://networks.skewed.de/net/…