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• Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability
  2026
• Generalist Graph Anomaly Detection via Prototype-Based Distillation
  2026
• TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph
  2026
• Learning Dynamic Graph Representations through Timespan View Contrasts
  2026
• Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning
  2026
• Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
  2025
• Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning
  2025
• Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
  2025
• Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
  2025
• Out-of-Distribution Generalization on Graphs via Progressive Inference
  2025
• GraphPub: Generation of Differential Privacy Graph with High Availability
  2024
• Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
  2024
• CLDG: Contrastive Learning on Dynamic Graphs
  2024