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Poster
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Thu 2:30 |
GNN-LM: Language Modeling based on Global Contexts via GNN Yuxian Meng · Shi Zong · Xiaoya Li · Xiaofei Sun · Tianwei Zhang · Fei Wu · Jiwei Li |
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Poster
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Mon 2:30 |
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty · Yanfei Dong · Wee Sun Lee |
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Poster
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Tue 2:30 |
Explainable GNN-Based Models over Knowledge Graphs David Jaime Tena Cucala · Bernardo Grau · Egor Kostylev · Boris Motik |
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Spotlight
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Thu 2:30 |
GNN-LM: Language Modeling based on Global Contexts via GNN Yuxian Meng · Shi Zong · Xiaoya Li · Xiaofei Sun · Tianwei Zhang · Fei Wu · Jiwei Li |
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Workshop
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REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics Mario Lino Valencia · Stathi Fotiadis · Anil Bharath · Chris Cantwell |
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Poster
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Mon 10:30 |
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks Morteza Ramezani · Weilin Cong · Mehrdad Mahdavi · Mahmut Kandemir · Anand Sivasubramaniam |
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Poster
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Tue 18:30 |
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning Xiyuan Wang · Muhan Zhang |
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Spotlight
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Tue 2:30 |
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks Marten Lienen · Stephan Günnemann |
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Poster
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Tue 2:30 |
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia |
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Poster
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Tue 2:30 |
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks Marten Lienen · Stephan Günnemann |
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Poster
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Mon 10:30 |
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah |
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Poster
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Mon 10:30 |
DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng · Ninghao Liu · Fan Yang · Ruixiang Tang · Mengnan Du · Xia Hu |