Get started
Author

Xunkai Li

FedGTA: Topology-Aware Averaging for Federated Graph Learning
2023 · Xunkai Li, Zhengyu Wu, et al. · Proceedings of the VLDB Endowment · 42
PDF
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering
2021 · Youpeng Hu, Xunkai Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 35
A Deep Graph Structured Clustering Network
2020 · Xunkai Li, Youpeng Hu, et al. · IEEE Access · 25
PDF
Internal Consistency and Self-Feedback in Large Language Models: A Survey
2024 · Liang, Xun, Song, Shichao, et al. · arXiv (Cornell University) · 19
PDF
Towards Effective and General Graph Unlearning via Mutual Evolution
2024 · Xunkai Li, Yulin Zhao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 18
PDF
Acceleration Algorithms in GNNs: A Survey
2025 · Lu Ma, Zeang Sheng, et al. · IEEE Transactions on Knowledge and Data Engineering · 16
PDF
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
2025 · Xunkai Li, Yinlin Zhu, et al. · Proceedings of the VLDB Endowment · 14
PDF
Rethinking Node-wise Propagation for Large-scale Graph Learning
2024 · Xunkai Li, Jingyuan Ma, et al. · ACM Web Conference (WWW) · 12
PDF
Handling information loss of graph convolutional networks in collaborative filtering
2022 · Xin Xiong, XunKai Li, et al. · Information Systems · 12
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
2024 · Xunkai Li, Zhengyu Wu, et al. · Proceedings - International Conference on Data Engineering · 11
PDF
Topology-Preserving Graph Coarsening: An Elementary Collapse-Based Approach
2024 · Yuchen Meng, Rong-Hua Li, et al. · Proceedings of the VLDB Endowment · 9
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
2024 · Henan Sun, Xunkai Li, et al. · Proceedings - International Conference on Data Engineering · 9
PDF
Effective hybrid graph and hypergraph convolution network for collaborative filtering
2022 · Xunkai Li, Ronghui Guo, et al. · Neural Computing and Applications · 9
LightDiC: A Simple Yet Effective Approach for Large-Scale Digraph Representation Learning
2024 · Xunkai Li, Meihao Liao, et al. · Proceedings of the VLDB Endowment · 8
PDF
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
2024 · Yinlin Zhu, Xunkai Li, et al. · 6
PDF
A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering
2021 · Ronghui Guo, Xunkai Li, et al. · IEEE Access · 6
PDF
Graph relation embedding network for click-through rate prediction
2022 · Yixuan Wu, Youpeng Hu, et al. · Knowledge and Information Systems · 5
FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation
2025 · Qi Lin, Jishuo Jia, et al. · Neural Networks · 4
A Scalable Deep Network for Graph Clustering via Personalized PageRank
2022 · Yulin Zhao, Xunkai Li, et al. · Applied Sciences · 4
PDF
Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning
2022 · Zijun Chen, Lihui Luo, et al. · IEEE Access · 4
PDF
Rethinking Federated Graph Learning: A Data Condensation Perspective
2025 · Hao Zhang, Xunkai Li, et al. · International Joint Conference on Artificial Intelligence · 2
PDF
FedSA-GCL: A semi-asynchronous federated graph learning framework with personalized aggregation and cluster-aware broadcasting
2026 · Zhongzheng Yuan, Lianshuai Guo, et al. · Knowledge-Based Systems · 1
PDF
PAGE: A Unified Approach for Federated Graph Unlearning
2026 · Yuming Ai, Xunkai Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
PDF
Effective Bug Detection in Graph Database Engines: An LLM-Based Approach
2026 · Jiayi Wu, Zhengyu Wu, et al. · IEEE Transactions on Knowledge and Data Engineering · 1
PDF
ScaDyG: A New Paradigm for Large-Scale Dynamic Graph Learning
2026 · Xiang Wu, Xunkai Li, et al. · IEEE Transactions on Neural Networks and Learning Systems · 1
PDF
Works count: 91
Citation count: 278
H-index: 10
I10-index: 10
Year
Topic
Type