13 citations · 26 across the 9 of their papers we have counts for
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cs.LG2022★ 1 cited
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim +5
Temporal networks model a variety of important phenomena involving timed interactions between entities. Existing methods for machine learning on temporal networks generally exhibit…
cs.LG2022★ 6 cited
Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya, Cameron Musco
Recent work has shown that a simple, fast method called Simple Graph Convolution (SGC) (Wu et al., 2019), which eschews deep learning, is competitive with deep methods like graph c…