8 results on '"Jianxiang Yu"'
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2. Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.
3. Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.
4. Can Large Language Models Act as Ensembler for Multi-GNNs?
5. RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
6. Boosting Graph Foundation Model from Structural Perspective.
7. Improving Graph Out-of-distribution Generalization on Real-world Data.
8. Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
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