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Affinity Workshop
Mon 6:05 Invited Talk #1 - How to communicate your results
Andrew Fitzgibbon
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Tue 7:30 Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu · Xueyuan Chen · Ke Xu · Shangzhe Li
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Tue 7:35 Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie · Zhao Xu · Shuiwang Ji
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Tue 7:40 DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting
Shiyong Lan · Yitong Ma · Weikang Huang · Wenwu Wang · Hongyu Yang · pyang li
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Tue 7:50 Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
Ling Yang · Shenda Hong
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Tue 10:30 pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof · Eldad Haber · Eran Treister
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Tue 10:35 Graph-Coupled Oscillator Networks
T. Konstantin Rusch · Ben Chamberlain · James Rowbottom · Siddhartha Mishra · Michael Bronstein
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Tue 10:40 HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li · Jianan Zhao · Chaozhuo Li · Di He · Yiqi Wang · Yuming Liu · Hao Sun · Senzhang Wang · Weiwei Deng · Yanming Shen · Xing Xie · Qi Zhang
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Tue 10:45 Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao · Mia Liu · Pan Li
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Tue 10:50 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia · Lirong Wu · Wang Ge · Jintao Chen · Stan Z. Li
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Tue 10:55 G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
Mingjie Li · Xiaojun Guo · Yifei Wang · Yisen Wang · Zhouchen Lin
Spotlight
Tue 11:00 SpeqNets: Sparsity-aware permutation-equivariant graph networks
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh