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Poster
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Thu 9:00
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Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
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Poster
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Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Haotong Yang · Zhouchen Lin · Muhan Zhang
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Workshop
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Spectrum Guided Topology Augmentation for Graph Contrastive Learning
Lu Lin · Jinghui Chen · Hongning Wang
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Poster
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Tue 9:00
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DiSC: Differential Spectral Clustering of Features
Ram Dyuthi Sristi · Gal Mishne · Ariel Jaffe
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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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Thu 14:00
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Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik · Petar Veličković
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Workshop
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Expander Graph Propagation
Andreea Deac · Marc Lackenby · Petar Veličković
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Workshop
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Expander Graph Propagation
Andreea Deac · Marc Lackenby · Petar Veličković
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Workshop
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Predicting electrolyte solution properties by combining neural network accelerated molecular dynamics and continuum solvent theory.
Timothy T Duignan · Junji Zhang · Joshua Pagotto
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Poster
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Thu 9:00
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GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang · Yozen Liu · Neil Shah · Yizhou Sun
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Workshop
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Sat 9:15
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Expander Graph Propagation
Andreea Deac · Marc Lackenby · Petar Veličković
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Workshop
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How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu · Rex Ying · Hanze Dong · Lu Lin · Jinghui Chen · Dinghao Wu
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