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05/17/2023
Optimality of Message-Passing Architectures for Sparse Graphs
We study the node classification problem on feature-decorated graphs in ...
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04/20/2022
Effects of Graph Convolutions in Deep Networks
Graph Convolutional Networks (GCNs) are one of the most popular architec...
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02/13/2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Recently there has been increased interest in semi-supervised classifica...
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05/20/2020
p-Norm Flow Diffusion for Local Graph Clustering
Local graph clustering and the closely related seed set expansion proble...
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06/11/2019
Statistical guarantees for local graph clustering
Local graph clustering methods aim to find small clusters in very large ...
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12/17/2017
Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization
Parallel computing has played an important role in speeding up convex op...
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06/19/2017
Capacity Releasing Diffusion for Speed and Locality
Diffusions and related random walk procedures are of central importance ...
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08/13/2015
