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04/11/2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Learning unbiased node representations for imbalanced samples in the gra...
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01/28/2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
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12/30/2022
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Most Graph Neural Networks follow the message-passing paradigm, assuming...
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10/02/2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Social networks are considered to be heterogeneous graph neural networks...
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08/17/2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Topology-imbalance is a graph-specific imbalance problem caused by the u...
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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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12/16/2021
Graph Structure Learning with Variational Information Bottleneck
Graph Neural Networks (GNNs) have shown promising results on a broad spe...
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10/15/2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Graph Neural Networks (GNNs) have been widely studied in various graph d...
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05/22/2021
