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Workshop
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Fri 12:10
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Discrete Curvature and Applications in Graph-Based Learning
Melanie Weber
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Poster
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Thu 16:30
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Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
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Workshop
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Sat 13:45
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Stefanie Jegelka: Learning discrete optimization: Loss functions and graph neural networks
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Poster
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Wed 17:00
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Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network
Yadi Cao · Menglei Chai · Minchen Li · Chenfanfu Jiang
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Poster
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Tue 14:00
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Online Learning with Feedback Graphs: The True Shape of Regret
Tomáš Kocák · Alexandra Carpentier
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Poster
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Wed 17:00
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Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
Dale Kim · Qing Zhou
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Poster
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Thu 16:30
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Disentangled Multiplex Graph Representation Learning
Yujie Mo · Yajie Lei · Jialie SHEN · Xiaoshuang Shi · Heng Tao Shen · Xiaofeng Zhu
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Poster
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Thu 16:30
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Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang · Wenjie Feng · Yanming Shen · Bryan Hooi
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Poster
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Wed 17:00
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GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Yuwen Li · Miao Xiong · Bryan Hooi
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Poster
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Tue 17:00
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MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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