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11/12/2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks
Graph structure learning (GSL), which aims to learn the adjacency matrix...
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10/05/2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...
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10/01/2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Even pruned by the state-of-the-art network compression methods, Graph N...
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09/16/2022
Adversarial Cross-View Disentangled Graph Contrastive Learning
Graph contrastive learning (GCL) is prevalent to tackle the supervision ...
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10/25/2021
Gophormer: Ego-Graph Transformer for Node Classification
Transformers have achieved remarkable performance in a myriad of fields ...
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07/14/2020