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Poster
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Tue 9:00
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Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
Anders Aamand · Justin Chen · Piotr Indyk · Shyam Narayanan · Ronitt Rubinfeld · Nicholas Schiefer · Sandeep Silwal · Tal Wagner
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Workshop
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TTERGM: Social Theory-Driven network simula
Yifan Huang · Clayton Barham · Eric Page · Pamela K Douglas
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Poster
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Wed 14:00
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Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Nils M. Kriege
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Workshop
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Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
Chenghan Huang · Lili Wang · Xinyuan Cao · Weicheng Ma · Soroush Vosoughi
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Poster
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Wed 9:00
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Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Emmanuel Esposito · Federico Fusco · Dirk van der Hoeven · Nicolò Cesa-Bianchi
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Poster
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Tue 14:00
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Thinned random measures for sparse graphs with overlapping communities
Federica Zoe Ricci · Michele Guindani · Erik Sudderth
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Workshop
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Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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Poster
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Tue 9:00
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A Probabilistic Graph Coupling View of Dimension Reduction
Hugues Van Assel · Thibault Espinasse · Julien Chiquet · Franck Picard
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Workshop
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Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao · Yunan Luo · Mia Liu · Pan Li
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Poster
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Wed 14:00
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Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Toth · Darrick Lee · Celia Hacker · Harald Oberhauser
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Poster
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OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou · Gitta Kutyniok · Bruno Ribeiro
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