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Workshop
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Sat 8:20
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Topological Deep Learning: Going Beyond Graph Data
Mustafa Hajij
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Workshop
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Sat 11:00
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Michael Bronstein - Physics-inspired learning on graphs.
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Poster
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Tue 8:45
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Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Saptarshi Roy · Raymond K. W. Wong · Yang Ni
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Poster
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Thu 8:45
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan · Pasquale Minervini · Daniel Daza · Michael Cochez · Isabelle Augenstein
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Workshop
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Soft Contrastive Learning for Time Series
Seunghan Lee · Taeyoung Park · Kibok Lee
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Workshop
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Graph Neural Networks Go Forward-Forward
Daniele Paliotta · Mathieu Alain · Bálint Máté · François Fleuret
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Poster
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Wed 8:45
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On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin · Tom Verbin · Nadav Cohen
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Workshop
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Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity
Ali Behrouz · Parsa Delavari · Farnoosh Hashemi
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Poster
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Thu 8:45
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GALOPA: Graph Transport Learning with Optimal Plan Alignment
Yejiang Wang · Yuhai Zhao · Daniel Zhengkui Wang · Ling Li
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Poster
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Wed 15:00
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Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
Zeyang Zhang · Xin Wang · Ziwei Zhang · Guangyao Shen · Shiqi Shen · Wenwu Zhu
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Workshop
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Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang · Yanyi Pu
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Poster
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Thu 15:00
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The expressive power of pooling in Graph Neural Networks
Filippo Maria Bianchi · Veronica Lachi
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