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Poster
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Wed 0:30
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Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang · Mingyu Yang · Zeang Sheng · Yang Li · Wen Ouyang · Yangyu Tao · Zhi Yang · Bin CUI
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Poster
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Tue 8:30
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On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong · Morteza Ramezani · Mehrdad Mahdavi
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Poster
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Wed 16:30
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A Convergence Analysis of Gradient Descent on Graph Neural Networks
Pranjal Awasthi · Abhimanyu Das · Sreenivas Gollapudi
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Poster
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Fri 8:30
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Topological Relational Learning on Graphs
Yuzhou Chen · Baris Coskunuzer · Yulia Gel
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Poster
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Thu 0:30
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Graph Differentiable Architecture Search with Structure Learning
Yijian Qin · Xin Wang · Zeyang Zhang · Wenwu Zhu
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Poster
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Tue 8:30
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Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
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Poster
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Thu 0:30
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The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
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Poster
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Thu 8:30
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Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards · Sahand Negahban · Patrick Rebeschini
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Poster
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Tue 8:30
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Iterative Connecting Probability Estimation for Networks
Yichen Qin · Linhan Yu · Yang Li
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Poster
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Thu 0:30
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Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang · Vincent Tan
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Poster
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Thu 8:30
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Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Salar Fattahi · Andres Gomez
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Poster
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Tue 8:30
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Can fMRI reveal the representation of syntactic structure in the brain?
Aniketh Janardhan Reddy · Leila Wehbe
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