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333 Results
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Poster
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Thu 0:30 |
The Complexity of Bayesian Network Learning: Revisiting the Superstructure Robert Ganian · Viktoriia Korchemna |
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Poster
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Tue 16:30 |
MagNet: A Neural Network for Directed Graphs Xitong Zhang · Yixuan He · Nathan Brugnone · Michael Perlmutter · Matthew Hirn |
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Poster
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Wed 0:30 |
Predicting Molecular Conformation via Dynamic Graph Score Matching Shitong Luo · Chence Shi · Minkai Xu · Jian Tang |
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Poster
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Thu 0:30 |
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler · Bertrand Charpentier · Simon Geisler · Daniel Zügner · Stephan Günnemann |
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Poster
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Thu 0:30 |
Efficient Learning of Discrete-Continuous Computation Graphs David Friede · Mathias Niepert |
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Poster
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Tue 16:30 |
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang · Hongrui Liu · Chuan Shi · Cheng Yang |
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Poster
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Thu 8:30 |
Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang · Yingxin Wu · An Zhang · Xiangnan He · Tat-Seng Chua |
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Poster
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Wed 0:30 |
Graph Adversarial Self-Supervised Learning Longqi Yang · Liangliang Zhang · Wenjing Yang |
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Poster
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Fri 8:30 |
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs Changwoo Lee · Zhao Tang Luo · Huiyan Sang |
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Poster
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Thu 16:30 |
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin |
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Poster
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Fri 8:30 |
Multi-view Contrastive Graph Clustering ErLin Pan · Zhao Kang |
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Poster
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Tue 8:30 |
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang · Justin Solomon |