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17 Results

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Poster
Fri 11:00 A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron
Poster
Fri 16:30 Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
Yusong Wang · Chaoran Cheng · Shaoning Li · Yuxuan Ren · Bin Shao · Ge Liu · Pheng-Ann Heng · Nanning Zheng
Affinity Event
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal · Adarsh Jamadandi · Rebekka Burkholz
Poster
Fri 16:30 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
Kirill Brilliantov · Amauri Souza · Vikas Garg
Poster
Wed 11:00 Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
Ma Rong · Jie Chen · Xiangyang Xue · Jian Pu
Poster
Thu 16:30 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
Yuankai Luo · Lei Shi · Xiao-Ming Wu
Poster
Fri 16:30 Dynamic Rescaling for Training GNNs
Nimrah Mustafa · Rebekka Burkholz
Poster
Fri 11:00 On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski · Frederik Wenkel · Farimah Poursafaei · Nia Dickson · Karush Suri · Philip Fradkin · Dominique Beaini
Workshop
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Yam Eitan · Yoav Gelberg · Guy Bar-Shalom · Fabrizio Frasca · Michael Bronstein · Haggai Maron
Workshop
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
Jesse He · Helen Jenne · Herman Chau · Davis Brown · Mark Raugas · Sara Billey · Henry Kvinge
Workshop
Towards Faster Quantum Circuit Simulation Using Graph Decompositions, GNNs and Reinforcement Learning
Alexander Koziell-Pipe · Richie Yeung · Matthew Sutcliffe
Workshop
Efficient Subgraph GNNs via Graph Products and Coarsening
Guy Bar-Shalom · Yam Eitan · Fabrizio Frasca · Haggai Maron