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Chuan Zhou
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GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
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
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