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12/24/2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
Graph Neural Networks (GNNs) have been a prevailing technique for tackli...
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05/25/2022
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature
Trust evaluation is critical for many applications such as cyber securit...
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12/27/2021
Block Modeling-Guided Graph Convolutional Neural Networks
Graph Convolutional Network (GCN) has shown remarkable potential of expl...
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04/12/2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
The current state-of-the-art model HiAGM for hierarchical text classific...
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07/06/2020