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11 Results
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Poster
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Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences Siwei Wang · Xinwang Liu · Suyuan Liu · Jiaqi Jin · Wenxuan Tu · Xinzhong Zhu · En Zhu |
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Competition
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Thu 13:00 |
OGB-LSC 2022: A Large-Scale Challenge for ML on Graphs Weihua Hu · Matthias Fey · Hongyu Ren · Maho Nakata · Yuxiao Dong · Jure Leskovec |
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Poster
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Wed 14:00 |
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey · Ron Levie · Yunseok Lee · Gitta Kutyniok |
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Poster
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Wed 9:00 |
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries Aryan Pedawi · Pawel Gniewek · Chaoyi Chang · Brandon Anderson · Henry van den Bedem |
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Workshop
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GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron Wolfe · Jingkang Yang · Fangshuo Liao · Arindam Chowdhury · Chen Dun · Artun Bayer · Santiago Segarra · Anastasios Kyrillidis |
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Poster
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Tue 9:00 |
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan · Zirui Liu · Peihao Wang · Wenqing Zheng · Kaixiong Zhou · Tianlong Chen · Xia Hu · Zhangyang Wang |
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Workshop
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Can Large Language Models Build Causal Graphs? Stephanie Long · Tibor Schuster · Alexandre Piche |
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Poster
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DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang · Yang Yang · Yang Wang · Chunping Wang · Zhisheng Zhang · Jiarong Xu · Lei Chen · Michalis Vazirgiannis |
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Poster
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Thu 14:00 |
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu · Wentao Zhao · Zenan Li · David P Wipf · Junchi Yan |
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Poster
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Wed 9:00 |
Large-Scale Differentiable Causal Discovery of Factor Graphs Romain Lopez · Jan-Christian Huetter · Jonathan Pritchard · Aviv Regev |
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Workshop
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GLINKX: A Unified Framework for Large-scale Homophilous and Heterophilous Graphs Marios Papachristou · Rishab Goel · Frank Portman · Matthew Miller · Rong Jin |