Awesome Graph Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Xunkai Li — most-cited papers & profile · Graph Learning
← authors
·
overview
Xunkai Li
41
papers ·
0
citations ·
8
h-index
Beijing Institute of Technology · Beijing Electronic Science and Technology Institute
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
BoostFGL: Boosting Fairness in Federated Graph Learning
2026
Scalable Topology-Preserving Graph Coarsening with Graph Collapse
2026
State Space Models over Directed Graphs
2025
Rethinking Federated Graph Learning: A Data Condensation Perspective
2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives
2025
Knowledge-Driven Federated Graph Learning on Model Heterogeneity
2025
DiRW: Path-Aware Digraph Learning for Heterophily
2024
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
2023
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
2024
Rethinking Node-wise Propagation for Large-scale Graph Learning
2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
2024
Acceleration Algorithms in GNNs: A Survey
2024
Towards Data-centric Machine Learning on Directed Graphs: a Survey
2024
Top co-authors
Rong-Hua Li
· 11
Guoren Wang
· 10
Wentao Zhang
· 3
Chenghu Zhou
· 2
Bin Cui
· 1
Di Wu
· 1
Hao Zhang
· 1
Jia Li
· 1
Jingyuan Ma
· 1
Ling Yang
· 1
Lu Ma
· 1
Miao Hu
· 1
Topics
GNN Architectures
Knowledge Graphs
Theory & Expressivity
Self-Supervised & Contrastive
Recommendation Graphs
cs.SI
stat.ML
Temporal & Dynamic