PPaperPicks

Rong-Hua Li

Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China

49 papers at tracked venues · 44 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?
  2. PAGE: A Unified Approach for Federated Graph Unlearning
  3. Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches
  4. Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs
  5. Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
  6. Counting Cohesive Subgraphs with Hereditary Properties
    WWW 2025 · Rong-Hua Li
  7. Density Decomposition of Bipartite Graphs
  8. DiRW: Path-Aware Digraph Learning for Heterophily
  9. Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: A Labelling Approach
  10. Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs
  11. Efficient Maximum Fair Clique Search Over Large Networks
  12. Fast Optimal Group Steiner Tree Search using GPUs
  13. GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments
  14. Improved Algorithms for Effective Resistance Computation on Graphs
  15. Integral Densest Subgraph Search on Directed Graphs
  16. Minimum Spanning Tree Maintenance in Dynamic Graphs
  17. On Temporal-Constraint Subgraph Matching
  18. One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor
  19. OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
  20. OpenGU: A Comprehensive Benchmark for Graph Unlearning
  21. Rethinking Client-oriented Federated Graph Learning
  22. Scaling Up k-Clique Percolation Community Detection
  23. The Power of Core Clique Removal for Exact Clique Enumeration
  24. Theoretically and Practically Efficient Maximum Biclique Search
  25. Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
  26. Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
  27. Triangle Counting Over Signed Graphs with Differential Privacy
  28. Truss Decomposition in Hypergraphs
  29. AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
  30. Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs
  31. Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
  32. Constant-time Connectivity Querying in Dynamic Graphs
  33. Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs
  34. Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs
  35. Efficient Maximal Biplex Enumerations with Improved Worst-Case Time Guarantee
  36. Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach
  37. Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach
  38. FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
  39. I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs
  40. LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning
  41. Maximal Biclique Enumeration: A Prefix Tree Based Approach
  42. Mining Quasi-Periodic Communities in Temporal Network
  43. PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering
  44. Privacy-Preserving Graph Embedding based on Local Differential Privacy
  45. QTCS: Efficient Query-Centered Temporal Community Search
  46. Rethinking Node-wise Propagation for Large-scale Graph Learning
  47. Theoretically and Practically Efficient Maximum Defective Clique Search
  48. Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach
  49. Towards Effective and General Graph Unlearning via Mutual Evolution