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Workshop
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Alignment of MPNNs and Graph Transformers
Bao Nguyen · Anjana Yodaiken · Petar Veličković
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Workshop
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Commute-Time-Optimised Graphs for GNNs
Igor Sterner · Shiye Su · Petar Veličković
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Workshop
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Sat 1:40
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Contributed: Bundle Neural Networks for message diffusion on graphs
Jacob Bamberger
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Tutorial
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Mon 6:30
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Graph Learning: Principles, Challenges, and Open Directions
Adrián Arnaiz-Rodríguez · Ameya Velingker
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Poster
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Tue 4:30
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An Empirical Study of Realized GNN Expressiveness
Yanbo Wang · Muhan Zhang
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Poster
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Tue 4:30
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Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma · Amauri Souza · Vikas Garg
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Workshop
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Graph Neural Networks for Binary Programming
Moshe Eliasof · Eldad Haber
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Workshop
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EquiTorch: A Modularized Package for Flexibly Constructing Equivariant GNNs Building upon Pytorch-Geometric
Tong Wang · Chuan Chen
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Poster
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Wed 2:30
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On dimensionality of feature vectors in MPNNs
César Bravo · Alexander Kozachinskiy · Cristobal Rojas
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Workshop
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Stable Differentiable Causal Discovery
Achille Nazaret · Justin Hong · Elham Azizi · David Blei
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Workshop
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Topological Neural Networks go Persistent, Equivariant and Continuous
Yogesh Verma · Amauri Souza · Vikas Garg
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Poster
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Thu 2:30
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A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
Wenqiang Li · Weijun Li · Lina Yu · Min Wu · Linjun Sun · Jingyi Liu · Yanjie Li · Shu Wei · Deng Yusong · Meilan Hao
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