Search All 2022 Events
 

Results

<<   <   Page 1 of 2   >   >>
Poster
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
Poster
Mon 2:30 PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty · Yanfei Dong · Wee Sun Lee
Poster
Tue 2:30 Explainable GNN-Based Models over Knowledge Graphs
David Jaime Tena Cucala · Bernardo Grau · Egor Kostylev · Boris Motik
Spotlight
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
Workshop
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
Mario Lino Valencia · Stathi Fotiadis · Anil Bharath · Chris Cantwell
Poster
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
Poster
Tue 18:30 GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
Xiyuan Wang · Muhan Zhang
Spotlight
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann
Poster
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
Poster
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann
Poster
Mon 10:30 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao · Wei Jin · Leman Akoglu · Neil Shah
Poster
Mon 10:30 DEGREE: Decomposition Based Explanation for Graph Neural Networks
Qizhang Feng · Ninghao Liu · Fan Yang · Ruixiang Tang · Mengnan Du · Xia Hu