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Workshop
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MRMP: Multi-Rate Magnitude Pruning of Graph Convolutional Networks
Hichem Sahbi
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Poster
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Tue 17:00
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Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
Haiyang Yu · Zhao Xu · Xiaofeng Qian · Xiaoning Qian · Shuiwang Ji
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Workshop
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Fri 19:00
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Breaking the Curse of Depth in Graph Convolutional Networks via Refined Initialization Strategy
Senmiao Wang · Yupeng Chen · Yushun Zhang · Tian Ding · Ruoyu Sun
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Poster
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Tue 17:00
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Graph Neural Tangent Kernel: Convergence on Large Graphs
Sanjukta Krishnagopal · Luana Ruiz
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Workshop
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ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz · Margo Seltzer
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Workshop
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ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz · Margo Seltzer
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Poster
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Wed 14:00
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Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli · James Harrison · Kaidi Yang · Marco Pavone · Filipe Rodrigues · Francisco Pereira
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Workshop
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Conditional Graph Generation with Graph Principal Flow Network
Tianze Luo · Zhanfeng Mo · Sinno Jialin Pan
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Workshop
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Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk
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Poster
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Thu 16:30
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GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang · Farzaneh Mirzazadeh · Xiang Zhang · Jie Chen
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Poster
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Tue 17:00
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Dink-Net: Neural Clustering on Large Graphs
Yue Liu · KE LIANG · Jun Xia · sihang zhou · xihong yang · Xinwang Liu · Stan Z Li
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