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165 Results
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Spotlight
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Mon 10:30 |
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai · Jie Chen |
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Poster
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Wed 10:30 |
Graph-Relational Domain Adaptation Zihao Xu · Hao He · Guang-He Lee · Bernie Wang · Hao Wang |
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Poster
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Tue 18:30 |
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning Jiarui Jin · Sijin Zhou · Weinan Zhang · Tong He · Yong Yu · Rasool Fakoor |
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Poster
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Thu 10:30 |
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation Shichang Zhang · Yozen Liu · Yizhou Sun · Neil Shah |
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Workshop
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Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning Aviv Netanyahu · Tianmin Shu · Joshua B Tenenbaum · Pulkit Agrawal |
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Workshop
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Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu · Kaixiang Lin · Feiyang Niu · Govind Thattai |
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Poster
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Wed 18:30 |
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication Cheng Wan · Youjie Li · Cameron Wolfe · Anastasios Kyrillidis · Nam Sung Kim · Yingyan Lin |
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Poster
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Mon 10:30 |
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai · Jie Chen |
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Poster
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Mon 2:30 |
Graph-based Nearest Neighbor Search in Hyperbolic Spaces Liudmila Prokhorenkova · Dmitry Baranchuk · Nikolay Bogachev · Yury Demidovich · Alexander Kolpakov |
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Poster
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Tue 10:30 |
Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang · Marko Zeman · Theodoros Tsiligkaridis · Marinka Zitnik |
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Workshop
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An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations Florent Bonnet · Ahmed Mazari · Thibaut Munzer · Pierre Yser · patrick gallinari |
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Poster
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Tue 10:30 |
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations Anuroop Sriram · Abhishek Das · Brandon Wood · Siddharth Goyal · Larry Zitnick |