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Chen Gong

Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
Boosting Graph Contrastive Learning via Adaptive Sampling
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Hyperspectral Image Classification with Context-aware Dynamic Graph Convolutional Networks
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning

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