PPaperPicks

Tongya Zheng

25 papers at tracked venues · 18 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction
  2. Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
  3. FlareDTDG: Harnessing Temporal Recency for Scalable Discrete-Time Dynamic Graph Training
  4. Neural Graph Navigation for Intelligent Subgraph Matching
  5. Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
  6. CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
  7. CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
  8. Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
  9. Disentangled Condensation for Large-scale Graphs
  10. Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
  11. Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing
  12. Efficient Dynamic Graphs Learning with Refined Batch Parallel Training
  13. From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
  14. Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
  15. Holistic Semantic Representation for Navigational Trajectory Generation
  16. Odyssey : Empowering Minecraft Agents with Open-World Skills
  17. SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
  18. SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data
  19. Tree of Preferences for Diversified Recommendation
  20. COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
  21. DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
  22. Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation
  23. Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation
  24. Simple Graph Condensation
  25. Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks