Chuan Zhou

Latest

• Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
• CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing
• Pseudo-Riemannian Graph Convolutional Networks
• Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing
• Projective Ranking-based GNN Evasion Attacks
• Ultrahyperbolic Knowledge Graph Embeddings
• Graph self-supervised learning: A survey
• Predicting Human Mobility via Graph Convolutional Dual-attentive Networks
• Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks
• Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
• Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
• Task-adaptive Neural Process for User Cold-Start Recommendation
• One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
• Graph Geometry Interaction Learning
• Graph Stochastic Neural Networks for Semi-supervised Learning
• Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
• Unsupervised Domain Adaptive Graph Convolutional Networks
• GSSNN: Graph Smoothing Splines Neural Networks
• Domain-Adversarial Graph Neural Networks for Text Classification
• Relation Structure-Aware Heterogeneous Graph Neural Network
• Low-Bit Quantization for Attributed Network Representation Learning
• Active discriminative network representation learning
• Advances in processing, mining, and learning complex data: From foundations to real-world applications
• FraudNE: a joint embedding approach for fraud detection