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Sundararajan Sellamanickam

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. HeteGCN

    2021

    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-art graph embedding based methods such as predictive text embedding (PTE) …

  2. Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

    2021 · Knowledge Discovery and Data Mining

    Graph Neural Networks (GNNs) have shown excellent performance on graphs that exhibit strong homophily with respect to the node labels i.e. connected nodes have same labels. However, they perform poorly on heterophilic graphs. Recent approaches …