Poster

Wed 14:00

Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Nils M. Kriege

Workshop

Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
Chenghan Huang · Lili Wang · Xinyuan Cao · Weicheng Ma · Soroush Vosoughi

Poster

Wed 9:00

Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Emmanuel Esposito · Federico Fusco · Dirk van der Hoeven · Nicolò Cesa-Bianchi

Poster

Tue 14:00

Thinned random measures for sparse graphs with overlapping communities
Federica Zoe Ricci · Michele Guindani · Erik Sudderth

Poster

Workshop

Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann

Poster

Tue 9:00

A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard

Workshop

TTERGM: Social Theory-Driven network simula
Yifan Huang · Clayton Barham · Eric Page · Pamela K Douglas

Workshop

Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao · Yunan Luo · Mia Liu · Pan Li

Poster

Wed 14:00

Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Toth · Darrick Lee · Celia Hacker · Harald Oberhauser

Poster

OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou · Gitta Kutyniok · Bruno Ribeiro

Poster

Tue 9:00

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten · Jan Schuchardt · Simon Geisler · Aleksandar Bojchevski · Stephan Günnemann