Tootfinder

RIVERS!
What can we learn from European rivers? How can we prevent floods using that knowledge?
What are some of Europe's latests wild rivers?
What is the "fifth season" in Estonia and what does it have to do with flooding rivers?
Find out at The European Perspective. New article by Raluca Besliu:
"Understanding the flow: Europe’s forgotten river wisdom"

Understanding the flow: Europe's forgotten river wisdom - The European Perspective
I come from a country where rivers crisscross the land like veins—feeding valleys, nourishing communities, and shaping the terrain. From wide, slow-moving

QB Rivers makes it official: 'I'm retiring a Charger' https://www.espn.com/nfl/story/_/id/45791166/former-qb-philip-rivers-announces-retiring-charger

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
Yi Xu, Yitian Zhang, Yun Fu
https://arxiv.org/abs/2509.16078 https://

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
Unsupervised multivariate time series (MTS) representation learning aims to extract compact and informative representations from raw sequences without relying on labels, enabling efficient transfer to diverse downstream tasks. In this paper, we propose Dual-Masked Autoencoder (DMAE), a novel masked time-series modeling framework for unsupervised MTS representation learning. DMAE formulates two complementary pretext tasks: (1) reconstructing masked values based on visible attributes, and (2) est…

On the word-representability of $K_m$-$K_n$ graphs
Herman Z. Q. Chen, Humaira Hameed, Sergey Kitaev
https://arxiv.org/abs/2508.15177 https://arxiv.org/pdf/…

On the word-representability of $K_m$-$K_n$ graphs
Word-representable graphs are a class of graphs that can be represented by words, where edges and non-edges are determined by the alternation of letters in those words. Several papers in the literature have explored the word-representability of split graphs, in which the vertices can be partitioned into a clique and an independent set. In this paper, we initiate the study of the word-representability of graphs in which the vertices can be partitioned into two cliques. We provide a complete char…

Exclusive: House Judiciary Committee Refers John Brennan To DOJ For Criminal Prosecution (Shawn Fleetwood/The Federalist)
https://thefederalist.com/2025/10/21/exclusive-house-judiciary-committee-refers-brennan-to-doj-for-criminal-investigation/
http://www.memeorandum.com/251021/p76#a251021p76

Making Pose Representations More Expressive and Disentangled via Residual Vector Quantization
Sukhyun Jeong, Hong-Gi Shin, Yong-Hoon Choi
https://arxiv.org/abs/2508.14561 https:…

Making Pose Representations More Expressive and Disentangled via Residual Vector Quantization
Recent progress in text-to-motion has advanced both 3D human motion generation and text-based motion control. Controllable motion generation (CoMo), which enables intuitive control, typically relies on pose code representations, but discrete pose codes alone cannot capture fine-grained motion details, limiting expressiveness. To overcome this, we propose a method that augments pose code-based latent representations with continuous motion features using residual vector quantization (RVQ). This d…

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://

Representation theory for polymatroids
Matthew Baker, June Huh, Mario Kummer, Oliver Lorscheid
https://arxiv.org/abs/2507.14718 https://

Representation theory for polymatroids
We develop a theory of representations of (discrete) polymatroids over tracts in terms of Plücker coordinates and suitable Plücker relations. As special cases, we recover polymatroids themselves as polymatroid representations over the Krasner hyperfield K and M-convex functions as polymatroid representations over the tropical hyperfield. We introduce and study several useful operations for polymatroid representations, such as translation and refined notions of minors and duality which have …

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
Jiafeng Xiong, Rizos Sakellariou
https://arxiv.org/abs/2508.14859 https…

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
Temporal graph learning is crucial for dynamic networks where nodes and edges evolve over time and new nodes continuously join the system. Inductive representation learning in such settings faces two major challenges: effectively representing unseen nodes and mitigating noisy or redundant graph information. We propose GTGIB, a versatile framework that integrates Graph Structure Learning (GSL) with Temporal Graph Information Bottleneck (TGIB). We design a novel two-step GSL-based structural enha…