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• Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement
  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
• 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
• Out-of-Distribution Generalization on Graphs via Progressive Inference
  2025
• A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
  2025
• Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data
  2019
• Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires
  2023
• CLDG: Contrastive Learning on Dynamic Graphs
  2024