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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
Size-Invariant Graph Representations for Graph Classification Extrapolations
In Graph Learning
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
In Graph Learning
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
In Graph Learning
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
Breaking the Limits of Message Passing Graph Neural Networks
In Graph Learning
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
From Local Structures to Size Generalization in Graph Neural Networks
In Graph Learning
Gilad Yehudai · Ethan Fetaya · Eli Meirom · Gal Chechik · Haggai Maron
[ Paper ]
Spotlight
Tue Jul 20 09:40 PM -- 09:45 PM (KST)
Interpretable Stability Bounds for Spectral Graph Filters
In Graph Learning
Henry Kenlay · Dorina Thanou · Xiaowen Dong
[ Paper ]
Spotlight
Tue Jul 20 09:45 PM -- 09:50 PM (KST)
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
In Graph Learning
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
[ Paper ]
Q&A
Tue Jul 20 09:50 PM -- 09:55 PM (KST)
Q&A
In Graph Learning