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163 Results
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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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Poster
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Thu 9:00 |
GREED: A Neural Framework for Learning Graph Distance Functions Rishabh Ranjan · Siddharth Grover · Sourav Medya · Venkatesan Chakaravarthy · Yogish Sabharwal · Sayan Ranu |
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Workshop
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Fri 6:50 |
Graph Learning for Industrial Applications: Finance, Crime Detection, Medicine and Social Media Manuela Veloso · John Dickerson · Senthil Kumar · Eren K. · Jian Tang · Jie Chen · Peter Henstock · Susan Tibbs · Ani Calinescu · Naftali Cohen · C. Bayan Bruss · Armineh Nourbakhsh |
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Poster
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Tue 9:00 |
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport Zongsheng Cao · Qianqian Xu · Zhiyong Yang · Yuan He · Xiaochun Cao · Qingming Huang |
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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 |
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Poster
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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs Yongqiang Chen · Yonggang Zhang · Yatao Bian · Han Yang · MA Kaili · Binghui Xie · Tongliang Liu · Bo Han · James Cheng |
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Workshop
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A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs Claudia Vanea · Jonathan Campbell · Omri Dodi · Liis Salumäe · Karen Meir · Drorith Hochner · Hagit Hochner · Triin Laisk · Linda Ernst · Cecilia Lindgren · Christoffer Nellaker |