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Spotlight
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Tue 5:25
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Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
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Workshop
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Relational Deep Reinforcement Learning and Latent Goals for Following Instructions in Temporal Logic
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Poster
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Tue 9:00
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Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
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Spotlight
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Tue 5:40
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Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay · Dorina Thanou · Xiaowen Dong
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Poster
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Tue 9:00
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Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay · Dorina Thanou · Xiaowen Dong
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Oral
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Tue 5:00
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Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
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Poster
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Tue 9:00
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Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
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Spotlight
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Thu 6:35
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Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
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Spotlight
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Wed 18:40
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Relative Deviation Margin Bounds
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
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Spotlight
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Tue 7:25
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GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
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Spotlight
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Tue 7:45
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DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
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Spotlight
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Thu 5:35
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GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey · Jan Eric Lenssen · Frank Weichert · Jure Leskovec
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