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@arXiv_csCR_bot@mastoxiv.page
2025-08-20 09:45:00

NodeShield: Runtime Enforcement of Security-Enhanced SBOMs for Node.js
Eric Cornelissen, Musard Balliu
arxiv.org/abs/2508.13750 arxiv.org/p…

@heiseonline@social.heise.de
2025-08-19 05:04:00

heise | Off-Grid-Messenger mit Meshfunktion: Meshtastic-Solarrouter im Eigenbau
Mit einem solarbetriebenen Meshtastic-Node hält man im Katastrophenfall die Kommunikation aufrecht. So geht der Eigenbau für wenig Geld.

@arXiv_mathNA_bot@mastoxiv.page
2025-08-20 08:27:30

On the usage of $2$-node lines in $n$-correct and $GC_n$ sets
Hakop Hakopian, Gagik Vardanyan, Navasard Vardanyan
arxiv.org/abs/2508.13289

@netzschleuder@social.skewed.de
2025-08-19 05:00:03

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022). 3284 nodes, 1204 edges. https://networks.skewed.de/net/faculty_hiring_us#field_industrial_engineering
@arXiv_csIR_bot@mastoxiv.page
2025-08-19 09:25:50

Contrastive Multi-View Graph Hashing
Yang Xu, Zuliang Yang, Kai Ming Ting
arxiv.org/abs/2508.12377 arxiv.org/pdf/2508.12377

@arXiv_statML_bot@mastoxiv.page
2025-08-19 09:34:59

Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
Haruka Ezoe, Hiroki Matsumoto, Ryohei Hisano
arxiv.org/abs/2508.12674

@arXiv_csDC_bot@mastoxiv.page
2025-08-20 07:43:19

Optimizing Allreduce Operations for Heterogeneous Architectures with Multiple Processes per GPU
Michael Adams, Amanda Bienz
arxiv.org/abs/2508.13397

@arXiv_csSI_bot@mastoxiv.page
2025-08-19 14:19:59

Replaced article(s) found for cs.SI. arxiv.org/list/cs.SI/new
[1/1]:
- Fast Geometric Embedding for Node Influence Maximization
Alexander Kolpakov, Igor Rivin

@arXiv_statME_bot@mastoxiv.page
2025-08-19 10:11:20

Simultaneous estimation of connectivity and dimensionality in samples of networks
Wenlong Jiang, Chris McKennan, Jes\'us Arroyo, Joshua Cape
arxiv.org/abs/2508.12483

@pbloem@sigmoid.social
2025-07-18 09:25:22

Now out in #TMLR:
🍇 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks 🍇
There's lots of work on sampling subgraphs for GNNs, but relatively little on making this sampling process _adaptive_. That is, learning to select the data from the graph that is relevant for your task.
We introduce an RL-based and a GFLowNet-based sampler and show that the approach perf…

A diagram of the GRAPES pipeline. It shows a subgraph being sampled in two steps and being fed to a GNN, with a blue line showing the learning signal. The caption reads Figure 1: Overview of GRAPES. First, GRAPES processes a target node (green) by computing node inclusion probabilities on its 1-hop neighbors (shown by node color shade) with a sampling GNN. Given these probabilities, GRAPES samples k nodes. Then, GRAPES repeats this process over nodes in the 2-hop neighborhood. We pass the sampl…
A results table for node classification on heterophilious graphs. Table 2: F1-scores (%) for different sampling methods trained on heterophilous graphs for a batch size of 256, and a sample size of 256 per layer. We report the mean and standard deviation over 10 runs. The best values among the sampling baselines (all except GAS) are in bold, and the second best are underlined. MC stands for multi-class and ML stands for multi-label classification. OOM indicates out of memory.
Performance of samples vs sampling size showing that GRAPES generally performs well across sample sizes, while other samplers often show more variance across sample sizes. The caption reads Figure 4: Comparative analysis of classification accuracy across different sampling sizes for sampling baseline
and GRAPES. We repeated each experiment five times: The shaded regions show the 95% confidence intervals.
A diagrammatic illustration of a graph classification task used in one of the theorems. The caption reads Figure 9: An example of a graph for Theorem 1 with eight nodes. Red edges belong to E1, features xi and labels yi are shown beside every node. For nodes v1 and v2 we show the edge e12 as an example. As shown, the label of each node is the second feature of its neighbor, where a red edge connects them. The edge homophily ratio is h=12/28 = 0.43.
@arXiv_eessSP_bot@mastoxiv.page
2025-06-18 08:52:33

Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization
Zexin Fang, Bin Han, Wenwen Chen, Hans D. Schotten
arxiv.org/abs/2506.14311

@arXiv_csLG_bot@mastoxiv.page
2025-08-18 09:43:00

A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
Michael Banf, Dominik Filipiak, Max Schattauer, Liliya Imasheva
arxiv.org/abs/2508.11390

@arXiv_condmatmeshall_bot@mastoxiv.page
2025-08-19 10:55:40

Strain-induced Ettingshausen effect in spin-orbit coupled noncentrosymmetric metals
Gautham Varma K, Azaz Ahmad, Gargee Sharma
arxiv.org/abs/2508.13147

@arXiv_qfinMF_bot@mastoxiv.page
2025-08-20 08:47:40

Market Viability and Completeness for Multinomial Models
Nahuel I. Arca
arxiv.org/abs/2508.13966 arxiv.org/pdf/2508.13966

@arXiv_physicschemph_bot@mastoxiv.page
2025-08-19 08:33:10

Load-Balanced Diffusion Monte Carlo Method with Lattice Regularization
Kousuke Nakano, Sandro Sorella, Michele Casula
arxiv.org/abs/2508.12033

@arXiv_eessSY_bot@mastoxiv.page
2025-07-18 08:50:52

Latency-Optimal File Assignment in Geo-Distributed Storage with Preferential Demands
Srivathsa Acharya, P. Vijay Kumar, Viveck R. Cadambe
arxiv.org/abs/2507.12830

@arXiv_csAR_bot@mastoxiv.page
2025-06-18 08:02:23

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation
Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras
arxiv.org/abs/2506.14551

@arXiv_quantph_bot@mastoxiv.page
2025-06-18 10:07:55

Multipartite Mixed-Species Entanglement over a Quantum Network
D. Main, P. Drmota, E. M. Ainley, A. Agrawal, D. Webb, S. Saner, O. Bazavan, B. C. Nichol, R. Srinivas, D. P. Nadlinger, G. Araneda, D. M. Lucas
arxiv.org/abs/2506.14334

@arXiv_qbioMN_bot@mastoxiv.page
2025-06-19 10:09:17

Attractor Stability of Boolean networks under noise
Byungjoon Min, Jeehye Choi, Reinhard Laubenbacher
arxiv.org/abs/2506.15581

@netzschleuder@social.skewed.de
2025-07-20 02:00:09

lkml_thread: Linux kernel mailing list
A bipartite network of contributions by users to threads on the Linux kernel mailing list. A left node is a person, and a right node is a thread, and each timestamped edge (i,j,t) denotes that user i contributed to thread j at time t. The date of the snapshot is not given.
This network has 379554 nodes and 1565683 edges.
Tags: Social, Communication, Unweighted, Timestamps

lkml_thread: Linux kernel mailing list. 379554 nodes, 1565683 edges. https://networks.skewed.de/net/lkml_thread
@arXiv_qbioNC_bot@mastoxiv.page
2025-08-18 11:19:44

Replaced article(s) found for q-bio.NC. arxiv.org/list/q-bio.NC/new
[1/1]:
- Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Bulat Batuev, Arsenii Onuchin, Sergey Sukhov

@zachleat@zachleat.com
2025-06-17 20:22:55

So thankful to the *excellent* work that @… has done with Node.js!
Especially this: floss.social/@webhackfest/1146

@arXiv_csIT_bot@mastoxiv.page
2025-06-17 10:06:33

Dynamic Layered Decoding Scheduling for LDPC Codes Aided by Check Node Error Probabilities
Chenyuan Jia, Dongxu Chang, Ruiyuan Wang, Guanghui Wang, Guiying Yan, Cunquan Qu
arxiv.org/abs/2506.13507

@aral@mastodon.ar.al
2025-08-12 16:31:15

🥳 New Kitten Release
Housekeeping:
• Updated runtime version to Node version 22.18.0 (latest LTS).
• Removed `--experimental-global-customevent` in node launch command (as `CustomEvent` is no longer behing the CLI flag since Node v19.0.0)
• Renamed `--experimental-loader` flag to `--loader` as the experimental prefix is no longer required.

@arXiv_physicssocph_bot@mastoxiv.page
2025-06-18 10:05:28

A novel approach for converting spatio-temporal series into complex networks
G. Cigdem Yalcin, M. Berk Onder
arxiv.org/abs/2506.14378

@arXiv_csDS_bot@mastoxiv.page
2025-06-17 09:37:11

Approximations for Fault-Tolerant Total and Partial Positive Influence Domination
Ioannis Lamprou, Ioannis Sigalas, Ioannis Vaxevanakis, Vassilis Zissimopoulos
arxiv.org/abs/2506.12828

@mgorny@social.treehouse.systems
2025-08-15 20:45:13

This is the #Garbce stop on railway line 271 (Poznań — Wrocław), renovated a few years ago.
The platforms end a dozen metres from the railway crossing. However, there is no walkway from the platforms to the crossing; probably because it would need to cross a tiny stream. Instead, a 100 m long walkways have been added to the other end of the platforms, with a tunnel joining the platforms and access to a side road in the town. To reach the railway crossing, you have to walk 700 m.
Ironically, even in the general drought the tunnel manages to feature puddles of ground water. Also including the photo of a platform roofing with weird orange marks.
#rail

@netzschleuder@social.skewed.de
2025-08-19 09:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@arXiv_condmatmeshall_bot@mastoxiv.page
2025-08-20 08:11:10

Realization and characterization of an all-bands-flat electronic lattice
Noah Lape, Simon Diubenkov, L. Q. English, P. G. Kevrekidis, Alexei Andreanov, Yeongjun Kim, Sergej Flach
arxiv.org/abs/2508.13571

@arXiv_csNI_bot@mastoxiv.page
2025-07-17 09:19:50

CRAFT: Latency and Cost-Aware Genetic-Based Framework for Node Placement in Edge-Fog Environments
Soheil Mahdizadeh, Amir Mahdi Rasouli, Mohammad Pourashory, Sadra Galavani, Mohsen Ansari
arxiv.org/abs/2507.12445

@arXiv_csGT_bot@mastoxiv.page
2025-07-17 07:56:40

New allocation rule based on graph structures and their application to economic phenomena
Taiki Yamada, Taisuke Matsubae, Tomoya Akamatsu
arxiv.org/abs/2507.11808

@arXiv_csAI_bot@mastoxiv.page
2025-08-15 09:45:32

Scaling Up without Fading Out: Goal-Aware Sparse GNN for RL-based Generalized Planning
Sangwoo Jeon, Juchul Shin, Gyeong-Tae Kim, YeonJe Cho, Seongwoo Kim
arxiv.org/abs/2508.10747

@lil5@social.linux.pizza
2025-08-14 21:40:20

Scala.js
#scala

@arXiv_csLG_bot@mastoxiv.page
2025-07-17 10:25:20

Heat Kernel Goes Topological
Maximilian Krahn, Vikas Garg
arxiv.org/abs/2507.12380 arxiv.org/pdf/2507.12380

@arXiv_csDC_bot@mastoxiv.page
2025-06-18 08:12:04

DAGs for the Masses
Michael Anoprenko, Andrei Tonkikh, Alexander Spiegelman, Petr Kuznetsov
arxiv.org/abs/2506.13998

@arXiv_condmatdisnn_bot@mastoxiv.page
2025-06-18 09:25:55

Predicting the response of structurally altered and asymmetrical networks
Melvyn Tyloo
arxiv.org/abs/2506.14609 arxiv…

@netzschleuder@social.skewed.de
2025-08-19 17:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@arXiv_csSI_bot@mastoxiv.page
2025-07-18 07:40:31

Identification of Authoritative Nodes and Dismantling of Illicit Networks Using a Novel Metric for Measuring Strength of a Graph
Kartikeya Kansal, Arunabha Sen
arxiv.org/abs/2507.12711

@arXiv_csPL_bot@mastoxiv.page
2025-06-13 07:54:40

Choreographic Quick Changes: First-Class Location (Set) Polymorphism
Ashley Samuelson, Andrew K. Hirsch, Ethan Cecchetti
arxiv.org/abs/2506.10913

@netzschleuder@social.skewed.de
2025-06-19 18:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@heiseonline@social.heise.de
2025-07-16 09:36:00

Freie 3D-Software Blender 4.5: visuell programmieren und effizient rendern
Das 3D-Programm Blender 4.5 ist erschienen. Es bringt Langzeitunterstützung bis 2027, verbesserte Node-Bedienung und soll effizienter rendern als der Vorgänger.

@mgorny@pol.social
2025-08-15 20:45:16

Oto przystanek osobowy #Garbce na linii kolejowej 271 (Poznań — Wrocław), wyremontowana parę lat temu.
Jak widać, perony kończą się kilkanaście metrów przed przejazdem kolejowym. Jednak zdecydowano, by nie prowadzić chodnika do tego przejazdu — najpewniej ze względu na ten tyci strumyk. Zamiast tego, na drugim końcu peronu poprowadzono stumetrowy chodnik, który prowadzi do tunelu łączącego peron…

Widok ze środka przejazdu kolejowego na dwutorowej linii kolejowej. Z przodu betonowe płyty przejazdu. Po bokach, dwa perony, zaczynające się w odległości kilkunastu metrów, ogrodzone niebieskim płotem, z wiatami, słupami oświetleniowymi i barierkami na końcu. Pomiędzy nimi, a przejazdem, wysoka trawa; z prawej, blisko torów, strony ekrany akustyczne. Mniej-więcej w ⅔ odległości od przejazdu widać po bokach linii betonowe bryły z niebieskimi barierkami po bokach, sugerujące przepust płynącego p…
Widok z drugiego końca prawego peronu. Po obydwu stronach linii kolejowej widać bardzo długi chodnik, ogrodzony najpierw niebieskimi barierkami, a następnie srebrnym płotem. W oddali widać wiaty prowadzącego do tunelu. Po lewej stronie drzewa i wysoka trawa.
Środek tunelu. Ściany i sufit białe, z szeroką, szarą listwą przy podłodze i w kształcie trójkąta przy końcu. W suficie cztery lampy. Po lewej stronie podłogi, płaskie kałuże, które sięgają prawie do połowy szerokości tunelu.
Górna, szklana płyta zadaszenia. Jest mętna, pręgowana wymalowanymi ciemniejszymi pasami. Widać na niej mnóstwo szerokich pomarańczowych pasów, kończących się kołami, prowadzących w przypadkowych kierunkach, wyglądających jakby ktoś przesuwał po niej wielki, okrągły pędzel.
@arXiv_csHC_bot@mastoxiv.page
2025-07-14 08:55:22

Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing
Abhinav Sood, Maria Teresa Llano, Jon McCormack
arxiv.org/abs/2507.08260

@arXiv_csET_bot@mastoxiv.page
2025-06-17 09:31:27

A Novel Thermal Network Model and Electro-Thermal Coupling Study for NSFETs and CFETs Considering Thermal Crosstalk
Tianci Miao, Qihang Zheng, Yangyang Hu, Xiaoyu Cheng, Jie Liang, Liang Chen, Aiying Guo, Jingjing Liu, Kailin Ren, Jianhua Zhang
arxiv.org/abs/2506.12264

@askans@bonn.social
2025-08-17 10:22:24

Wer auf der #froscon hat einen #meshtastic Node dabei?

@arXiv_csGR_bot@mastoxiv.page
2025-07-16 08:14:31

Developing and evaluating quilts for the depiction of large layered graphs
Juhee Bae, Benjamin Watson
arxiv.org/abs/2507.10883

@arXiv_qbioNC_bot@mastoxiv.page
2025-06-17 12:09:45

Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Bulat Batuev, Arsenii Onuchin, Sergey Sukhov
arxiv.org/abs/2506.13615

@arXiv_eessSP_bot@mastoxiv.page
2025-06-17 12:19:05

Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
Jason M. Merlo, Jeffrey A. Nanzer
arxiv.org/abs/2506.13014

@netzschleuder@social.skewed.de
2025-06-20 12:00:05

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@arXiv_csIT_bot@mastoxiv.page
2025-07-17 08:12:40

On the error correction of iterative bounded distance decoding of generalized LDPC codes
David Burshtein
arxiv.org/abs/2507.12073

@arXiv_quantph_bot@mastoxiv.page
2025-08-18 08:55:10

Hybrid Fiber-Free-Space Entanglement Distribution Using Off-the-Shelf Quantum Devices
Gustavo C. Amaral, Nienke M. ten Haaf, Breno Perlingeiro, David L. Bakker, Mark G. M. Boekel, Tim E. van Duivenbode, Karthik Selvan, Nicolas Oidtmann, Rafael Ochsendorf, Rick N. M. Wasserman, Mael Flament, Felipe Giraldo, Shane Andrewski, Mehdi Namazi, Federica Facchin, Mario Casta\~neda, Fokko de Vries, Sayali Shevate, Shaurya Bhave, Marco Gorter, Nico Coesel, David Mytling, Mike Mabry, Carlo Page, A…

@arXiv_csLG_bot@mastoxiv.page
2025-07-17 10:13:50

Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
Tairan Huang, Yili Wang
arxiv.org/abs/2507.11997

@arXiv_csDC_bot@mastoxiv.page
2025-06-17 09:26:23

Towards Energy-Efficient Distributed Agreement
Hugo Mirault, Peter Robinson
arxiv.org/abs/2506.12282 arxiv.org/pdf/25…

@arXiv_eessSY_bot@mastoxiv.page
2025-06-17 11:54:33

Voltage Stability of Inverter-Based Systems: Impact of Parameters and Irrelevance of Line Dynamics
Sushobhan Chatterjee, Sijia Geng
arxiv.org/abs/2506.13341

@arXiv_csCR_bot@mastoxiv.page
2025-07-16 08:43:11

Crypto-Assisted Graph Degree Sequence Release under Local Differential Privacy
Xiaojian Zhang, Junqing Wang, Kerui Chen, Peiyuan Zhao, Huiyuan Bai
arxiv.org/abs/2507.10627

@arXiv_csNI_bot@mastoxiv.page
2025-06-17 10:05:21

Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
arxiv.org/abs/2506.13626

@arXiv_csDS_bot@mastoxiv.page
2025-07-14 08:20:42

To buy or not to buy: deterministic rent-or-buy problems on node-weighted graphs
Sander Borst, Moritz Venzin
arxiv.org/abs/2507.08698

@arXiv_eessSP_bot@mastoxiv.page
2025-06-17 12:21:29

Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Ashwani Koul, Gustaf Hendeby, Isaac Skog
arxiv.org/abs/2506.13330

@arXiv_condmatmeshall_bot@mastoxiv.page
2025-06-17 10:53:46

Distinguishing features of longitudinal magnetoconductivity for a Rarita-Schwinger-Weyl node
Ipsita Mandal
arxiv.org/abs/2506.12380

@arXiv_csDC_bot@mastoxiv.page
2025-07-17 09:36:20

Distributed Algorithms for Potential Problems
Alkida Balliu, Thomas Boudier, Francesco d'Amore, Dennis Olivetti, Gustav Schmid, Jukka Suomela
arxiv.org/abs/2507.12038

@arXiv_quantph_bot@mastoxiv.page
2025-07-16 10:11:41

A review of perfect quantum state transfer, from one to two and three dimensional arrays of qubits
Marzieh Asoudeh, Vahid Karimipour
arxiv.org/abs/2507.11016

@netzschleuder@social.skewed.de
2025-07-20 03:00:08

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

wordnet: WordNet relationships. 146005 nodes, 656999 edges. https://networks.skewed.de/net/wordnet
@arXiv_eessSY_bot@mastoxiv.page
2025-07-16 08:21:31

Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
Yueyue Xu, Yuewei Chen, Lin Wang, Zhaoyang Cheng, Xiaoming Hu
arxiv.org/abs/2507.11113

@arXiv_csLG_bot@mastoxiv.page
2025-08-15 10:20:02

Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang, Yuchen Song, Sheng'en Li, Dongmian Zou
arxiv.org/abs/2508.10785

@netzschleuder@social.skewed.de
2025-07-19 03:00:05

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
networks.skewed.de/net/di…

digg_reply: Digg reply network (2008). 30398 nodes, 87627 edges. https://networks.skewed.de/net/digg_reply
@arXiv_csCR_bot@mastoxiv.page
2025-08-15 09:23:22

NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
Pallavi Zambare, Venkata Nikhil Thanikella, Nikhil Padmanabh Kottur, Sree Akhil Akula, Ying Liu
arxiv.org/abs/2508.10052

@arXiv_csDS_bot@mastoxiv.page
2025-07-16 09:34:01

Deterministic Lower Bounds for $k$-Edge Connectivity in the Distributed Sketching Model
Peter Robinson, Ming Ming Tan
arxiv.org/abs/2507.11257

@arXiv_quantph_bot@mastoxiv.page
2025-07-16 10:18:11

Versatile Wavelength-Division Multiplexed Quantum Key Distribution Network Operating Simultaneously in the O and C Bands
Davide Scalcon, Matteo Padovan, Paolo Villoresi, Giuseppe Vallone, Marco Avesani
arxiv.org/abs/2507.11175

@netzschleuder@social.skewed.de
2025-08-18 18:00:04

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

bible_nouns: Bible noun phrases. 1773 nodes, 9131 edges. https://networks.skewed.de/net/bible_nouns
@arXiv_csNI_bot@mastoxiv.page
2025-06-16 07:57:29

Minimum-hop Constellation Design for Low Earth Orbit Satellite Networks
Chirag Rao, Eytan Modiano
arxiv.org/abs/2506.11995

@netzschleuder@social.skewed.de
2025-06-19 10:00:04

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

contiguous_usa: Contiguous states (USA). 49 nodes, 107 edges. https://networks.skewed.de/net/contiguous_usa
@arXiv_csDC_bot@mastoxiv.page
2025-07-16 07:34:11

FAFO: Over 1 million TPS on a single node running EVM while still Merkleizing every block
Ryan Zarick, Isaac Zhang, Daniel Wong, Thomas Kim, Bryan Pellegrino, Mignon Li, Kelvin Wong
arxiv.org/abs/2507.10757

@netzschleuder@social.skewed.de
2025-06-18 23:00:11

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

petster: Pet owner social networks (2016). 623766 nodes, 15699276 edges. https://networks.skewed.de/net/petster
@netzschleuder@social.skewed.de
2025-06-19 21:00:13

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

petster: Pet owner social networks (2016). 623766 nodes, 15699276 edges. https://networks.skewed.de/net/petster
@arXiv_csNI_bot@mastoxiv.page
2025-06-16 07:50:39

The Throughput Gain of Hypercycle-level Resource Reservation for Time-Triggered Ethernet
Peng Wang, Suman Sourav, Binbin Chen, Hongyan Li, Feng Wang, Fan Zhang
arxiv.org/abs/2506.11745

@netzschleuder@social.skewed.de
2025-06-19 12:00:10

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
netwo…

digg_votes: Digg story votes (2009). 142962 nodes, 3018197 edges. https://networks.skewed.de/net/digg_votes
@netzschleuder@social.skewed.de
2025-06-18 20:00:04

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

bible_nouns: Bible noun phrases. 1773 nodes, 9131 edges. https://networks.skewed.de/net/bible_nouns
@netzschleuder@social.skewed.de
2025-07-18 23:00:05

word_assoc: Edinburgh word associations
A network of word associations showing the count of such associations as collected from subjects, from the Edinburgh Associative Thesaurus (EAT). Each node represents a word, and a directed edge (i, j) denotes that word i was used as a stimulus to which word j was given as a response. Multiple edges are allowed.
This network has 23132 nodes and 312342 edges.
Tags: Informational, Language, Unweighted, Multigraph

word_assoc: Edinburgh word associations. 23132 nodes, 312342 edges. https://networks.skewed.de/net/word_assoc
@netzschleuder@social.skewed.de
2025-07-20 01:00:03

ego_social: Ego networks in social media (2012)
Ego networks associated with a set of accounts of three social media platforms (Facebook, Google , and Twitter). Datasets include node features (profile metadata), circles, and ego networks, and were crawled from public sources in 2012.
This network has 1079 nodes and 46234 edges.
Tags: Social, Online, Unweighted, Metadata

ego_social: Ego networks in social media (2012). 1079 nodes, 46234 edges. https://networks.skewed.de/net/ego_social#gplus_107296660002634487593
@arXiv_quantph_bot@mastoxiv.page
2025-07-14 09:46:42

Bi-Contextuality: A Novel Non-Classical Phenomenon in Bipartite Quantum Systems
Gabriel Ruffolo, Nigel Benjamin Lee Junsheng, Kim Mu Young, Dzmitry Matsukevich, Rafael Rabelo, Dagomir Kaszlikowski, Pawe{\l} Kurzy\'nski
arxiv.org/abs/2507.08461

@netzschleuder@social.skewed.de
2025-08-17 23:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@netzschleuder@social.skewed.de
2025-07-17 14:00:03

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022). 3284 nodes, 1338 edges. https://networks.skewed.de/net/faculty_hiring_us#field_human_development_and_family_sciences
@netzschleuder@social.skewed.de
2025-07-19 13:00:04

football_tsevans: NCAA college football 2000 (corrected metadata)
A network of American football games between Division IA colleges during regular season Fall 2000. This version contains some corrections made by T. S. Evans, in particular:.
This network has 115 nodes and 613 edges.
Tags: Social, Sports, Unweighted

football_tsevans: NCAA college football 2000 (corrected metadata). 115 nodes, 613 edges. https://networks.skewed.de/net/football_tsevans
@netzschleuder@social.skewed.de
2025-06-19 17:00:04

football_tsevans: NCAA college football 2000 (corrected metadata)
A network of American football games between Division IA colleges during regular season Fall 2000. This version contains some corrections made by T. S. Evans, in particular:.
This network has 115 nodes and 613 edges.
Tags: Social, Sports, Unweighted

football_tsevans: NCAA college football 2000 (corrected metadata). 115 nodes, 613 edges. https://networks.skewed.de/net/football_tsevans
@netzschleuder@social.skewed.de
2025-08-16 12:00:03

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022). 3284 nodes, 11809 edges. https://networks.skewed.de/net/faculty_hiring_us#domain_applied_sciences
@netzschleuder@social.skewed.de
2025-06-17 16:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@netzschleuder@social.skewed.de
2025-08-18 05:00:10

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
netwo…

digg_votes: Digg story votes (2009). 142962 nodes, 3018197 edges. https://networks.skewed.de/net/digg_votes
@netzschleuder@social.skewed.de
2025-08-18 15:00:03

swingers: Swingers and parties (2013)
A bipartite sexual affiliation network representing “swing unit” couples (one node per couple) and the parties they attended.
This network has 96 nodes and 232 edges.
Tags: Social, Offline, Unweighted
networks.skewed.de/net/swingers

swingers: Swingers and parties (2013). 96 nodes, 232 edges. https://networks.skewed.de/net/swingers
@netzschleuder@social.skewed.de
2025-07-18 07:00:10

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
netwo…

digg_votes: Digg story votes (2009). 142962 nodes, 3018197 edges. https://networks.skewed.de/net/digg_votes
@netzschleuder@social.skewed.de
2025-08-18 01:00:04

foodweb_baywet: Florida cypress wetlands food web (1998)
Networks of carbon exchanges among species in the cypress wetlands of South Florida. One network covers the wet and the other the dry season. Each node represents a taxon (similar to a species), and a directed edge indicates that one taxon uses another as food.
This network has 128 nodes and 2106 edges.
Tags: Biological, Food web, Weighted

foodweb_baywet: Florida cypress wetlands food web (1998). 128 nodes, 2106 edges. https://networks.skewed.de/net/foodweb_baywet
@netzschleuder@social.skewed.de
2025-07-18 01:00:05

scotus_majority: SCOTUS majority opinions
Network of legal citations among majority opinions written by the Supreme Court of the United States (SCOTUS), from 1754-2002 (2008 version) and 1792-2006 (2007 version). In addition to the citation network, node metadata is included giving some description of each opinion.
This network has 25417 nodes and 216738 edges.
Tags: Informational, Legal, Unweighted, Metadata, Temporal

scotus_majority: SCOTUS majority opinions. 25417 nodes, 216738 edges. https://networks.skewed.de/net/scotus_majority#2008
@netzschleuder@social.skewed.de
2025-07-18 00:00:05

scotus_majority: SCOTUS majority opinions
Network of legal citations among majority opinions written by the Supreme Court of the United States (SCOTUS), from 1754-2002 (2008 version) and 1792-2006 (2007 version). In addition to the citation network, node metadata is included giving some description of each opinion.
This network has 34613 nodes and 202167 edges.
Tags: Informational, Legal, Unweighted, Metadata, Temporal

scotus_majority: SCOTUS majority opinions. 34613 nodes, 202167 edges. https://networks.skewed.de/net/scotus_majority#2007
@netzschleuder@social.skewed.de
2025-08-13 22:00:03

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

faculty_hiring_us: Faculty hiring networks in the US (2022). 3284 nodes, 2086 edges. https://networks.skewed.de/net/faculty_hiring_us#field_marketing
@netzschleuder@social.skewed.de
2025-08-16 21:00:04

swingers: Swingers and parties (2013)
A bipartite sexual affiliation network representing “swing unit” couples (one node per couple) and the parties they attended.
This network has 96 nodes and 232 edges.
Tags: Social, Offline, Unweighted
networks.skewed.de/net/swingers

swingers: Swingers and parties (2013). 96 nodes, 232 edges. https://networks.skewed.de/net/swingers
@netzschleuder@social.skewed.de
2025-06-17 07:00:03

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

contiguous_usa: Contiguous states (USA). 49 nodes, 107 edges. https://networks.skewed.de/net/contiguous_usa
@netzschleuder@social.skewed.de
2025-06-17 15:00:04

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

bible_nouns: Bible noun phrases. 1773 nodes, 9131 edges. https://networks.skewed.de/net/bible_nouns
@netzschleuder@social.skewed.de
2025-06-17 00:00:06

word_assoc: Edinburgh word associations
A network of word associations showing the count of such associations as collected from subjects, from the Edinburgh Associative Thesaurus (EAT). Each node represents a word, and a directed edge (i, j) denotes that word i was used as a stimulus to which word j was given as a response. Multiple edges are allowed.
This network has 23132 nodes and 312342 edges.
Tags: Informational, Language, Unweighted, Multigraph

word_assoc: Edinburgh word associations. 23132 nodes, 312342 edges. https://networks.skewed.de/net/word_assoc
@netzschleuder@social.skewed.de
2025-06-14 23:00:04

advogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted

advogato: Advogato trust network (2009). 6541 nodes, 51127 edges. https://networks.skewed.de/net/advogato
@netzschleuder@social.skewed.de
2025-07-17 12:00:04

malaria_genes: Malaria var DBLa HVR networks
Networks of recombinant antigen genes from the human malaria parasite P. falciparum. Each of the 9 networks shares the same set of vertices but has different edges, corresponding to the 9 highly variable regions (HVRs) in the DBLa domain of the var protein. Nodes are var genes, and two genes are connected if they share a substring whose length is statistically significant. Metadata includes two types of node labels, both based on sequence st…

malaria_genes: Malaria var DBLa HVR networks. 307 nodes, 2812 edges. https://networks.skewed.de/net/malaria_genes#HVR_1
@netzschleuder@social.skewed.de
2025-06-15 10:00:04

7th_graders: Vickers 7th Graders (1981)
A small multiplex network of friendships among 29 seventh grade students in Victoria, Australia. Students nominated classmates for three different activities (who do you get on with in the class, who are your best friends, and who would you prefer to work with). Edge direction for each of these three types of edges indicates if node i nominated node j, and the edge weight gives the frequency of this nomination. Students 1-12 are boys and 13-29 ar…

7th_graders: Vickers 7th Graders (1981). 29 nodes, 740 edges. https://networks.skewed.de/net/7th_graders