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20202023
most citedHeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

19 citations · 36 across the 8 of their papers we have counts for

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cs.CL2020★ 19 cited

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer +2

We consider the problem of learning efficient and inductive graph convolutional networks for text classification with a large number of examples and features. Existing state-of-the…

cs.LG2020★ 2 cited

A Graph Convolutional Network Composition Framework for Semi-supervised Classification

Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam +1

Graph convolutional networks (GCNs) have gained popularity due to high performance achievable on several downstream tasks including node classification. Several architectural varia…