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12/07/2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Graph Neural Networks (GNNs) exploit signals from node features and the ...
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07/28/2021
Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
Graph Neural Networks (GNNs) exhibit excellent performance when graphs h...
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06/24/2021
Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
Graph Neural Networks (GNNs) have shown excellent performance on graphs ...
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02/20/2021
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
Graph Neural Networks have shown excellent performance on semi-supervise...
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02/15/2021
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
We consider the problem of learning latent features (aka embedding) for ...
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10/23/2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
Generative adversarial networks (GANs) have been remarkably successful i...
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08/19/2020
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
We consider the problem of learning efficient and inductive graph convol...
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04/08/2020
