A Deep Graph Structured Clustering Network. - Xunkai Li; Youpeng Hu; Yaoqi Sun; Ji Hu 002; Jiyong Zhang; Meixia Qu (IEEE Access, 2020)

A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering. - Ronghui Guo; Xunkai Li; Youpeng Hu; Yixuan Wu; Xin Xiong; Meixia Qu (IEEE Access, 2021)

Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning. - Zijun Chen; Lihui Luo; Xunkai Li; Bin Jiang 011; Qiang Guo 003; Chunpeng Wang (IEEE Access, 2022)

Handling information loss of graph convolutional networks in collaborative filtering. - Xin Xiong; Xunkai Li; Youpeng Hu; Yixuan Wu; Jian Yin 003 (Inf. Syst., 2022)

Graph relation embedding network for click-through rate prediction. - Yixuan Wu; Youpeng Hu; Xin Xiong; Xunkai Li; Ronghui Guo; Shuiguang Deng (Knowl. Inf. Syst., 2022)

Effective hybrid graph and hypergraph convolution network for collaborative filtering. - Xunkai Li; Ronghui Guo; Jianwen Chen; Youpeng Hu; Meixia Qu; Bin Jiang 011 (Neural Comput. Appl., 2023)

FedGTA: Topology-aware Averaging for Federated Graph Learning. - Xunkai Li; Zhengyu Wu; Wentao Zhang 001; Yinlin Zhu; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2023)

Adaptive Hypergraph Auto-Encoder for Relational Data Clustering. - Youpeng Hu; Xunkai Li; Yujie Wang; Yixuan Wu; Yining Zhao; Chenggang Yan 001; Jian Yin 003; Yue Gao 002 (IEEE Trans. Knowl. Data Eng., 2023)

LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis. - Haotong Wei; Yinlin Zhu; Xunkai Li; Bin Jiang 011 (Neural Networks, 2023)

Towards Effective and General Graph Unlearning via Mutual Evolution. - Xunkai Li; Yulin Zhao; Zhengyu Wu; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (AAAI, 2024)

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. - Xunkai Li; Zhengyu Wu; Wentao Zhang 001; Henan Sun; Rong-Hua Li; Guoren Wang (ICDE, 2024)

Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. - Henan Sun; Xunkai Li; Zhengyu Wu; Daohan Su; Rong-Hua Li; Guoren Wang (ICDE, 2024)

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. - Yinlin Zhu; Xunkai Li; Zhengyu Wu; Di Wu 001; Miao Hu 001; Rong-Hua Li (IJCAI, 2024)

Rethinking Node-wise Propagation for Large-scale Graph Learning. - Xunkai Li; Jingyuan Ma; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (WWW, 2024)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Internal Consistency and Self-Feedback in Large Language Models: A Survey. - Xun Liang 001; Shichao Song; Zifan Zheng; Hanyu Wang; Qingchen Yu; Xunkai Li; Rong-Hua Li; Feiyu Xiong; Zhiyu Li (CoRR, 2024)

OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. - Xunkai Li; Yinlin Zhu; Boyang Pang; Guochen Yan; Yeyu Yan; Zening Li; Zhengyu Wu; Wentao Zhang 001; Rong-Hua Li; Guoren Wang (CoRR, 2024)

DiRW: Path-Aware Digraph Learning for Heterophily. - Daohan Su; Xunkai Li; Zhenjun Li; Yinping Liao; Rong-Hua Li; Guoren Wang (CoRR, 2024)

Toward Personalized Federated Node Classification in One-shot Communication. - Guochen Yan; Xunkai Li; Luyuan Xie; Wentao Zhang 001; Qingni Shen; Yuejian Fang; Zhonghai Wu (CoRR, 2024)

Federated Continual Graph Learning. - Yinlin Zhu; Xunkai Li; Miao Hu 001; Di Wu 001 (CoRR, 2024)

Towards Data-centric Machine Learning on Directed Graphs: a Survey. - Henan Sun; Xunkai Li; Daohan Su; Junyi Han; Rong-Hua Li; Guoren Wang (CoRR, 2024)

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks. - Xunkai Li; Zhengyu Wu; Jiayi Wu; Hanwen Cui; Jishuo Jia; Rong-Hua Li; Guoren Wang (CoRR, 2024)

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. - Xunkai Li; Meihao Liao; Zhengyu Wu; Daohan Su; Wentao Zhang 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2024)

Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. - Yuchen Meng; Ronghua Li; Longlong Lin; Xunkai Li; Guoren Wang (Proc. VLDB Endow., 2024)

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. - Xunkai Li; Daohan Su; Zhengyu Wu; Guang Zeng 001; Hongchao Qin; Rong-Hua Li; Guoren Wang (WWW, 2025)

FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation. - Qi Lin; Jishuo Jia; Yinlin Zhu; Xunkai Li; Bin Jiang 011; Meixia Qu (Neural Networks, 2025)

OpenGU: A Comprehensive Benchmark for Graph Unlearning. - Bowen Fan; Yuming Ai; Xunkai Li; Zhilin Guo 003; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach. - Xunkai Li; Bowen Fan; Zhengyu Wu; Zhiyu Li; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach. - Huilin Lai; Guang Zeng 001; Xunkai Li; Xudong Shen; Yinlin Zhu; Ye Luo; Jianwei Lu; Lei Zhu (CoRR, 2025)

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning. - Xiang Wu; Xunkai Li; Rong-Hua Li; Kangfei Zhao; Guoren Wang (CoRR, 2025)

OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. - Xunkai Li; Yinlin Zhu; Boyang Pang; Guochen Yan; Yeyu Yan; Zening Li; Zhengyu Wu; Wentao Zhang 001; Ronghua Li; Guoren Wang (Proc. VLDB Endow., 2025)

Rethinking Graph Structure Learning in the Era of LLMs. - Zhihan Zhang; Xunkai Li; Guang Zeng 001; Hongchao Qin; Ronghua Li; Guoren Wang (CoRR, 2025)

GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments. - Enjun Du; Xunkai Li; Tian Jin; Zhihan Zhang; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Toward General and Robust LLM-enhanced Text-attributed Graph Learning. - Zihao Zhang; Xunkai Li; Rong-Hua Li; Bing Zhou; Zhenjun Li; Guoren Wang (CoRR, 2025)

Federated Prototype Graph Learning. - Zhengyu Wu; Xunkai Li; Yinlin Zhu; Rong-Hua Li; Guoren Wang; Chenghu Zhou (CoRR, 2025)

Towards Unbiased Federated Graph Learning: Label and Topology Perspectives. - Zhengyu Wu; Boyang Pang; Xunkai Li; Yinlin Zhu; Daohan Su; Bowen Fan; Rong-Hua Li; Guoren Wang; Chenghu Zhou (CoRR, 2025)

FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning. - Zekai Chen; Xunkai Li; Yinlin Zhu; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. - Xunkai Li; Zhengyu Wu; Kaichi Yu; Hongchao Qin; Guang Zeng 001; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Rethinking Federated Graph Learning: A Data Condensation Perspective. - Hao Zhang; Xunkai Li; Yinlin Zhu; Lianglin Hu (CoRR, 2025)

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective. - Henan Sun; Xunkai Li; Lei Zhu; Junyi Han; Guang Zeng 001; Ronghua Li; Guoren Wang (CoRR, 2025)

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement. - Yinlin Zhu; Xunkai Li; Jishuo Jia; Miao Hu 001; Di Wu 001; Meikang Qiu (CoRR, 2025)

When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty. - Yanzhe Wen; Xunkai Li; Qi Zhang 010; Zhu Lei; Guang Zeng 001; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Xiaonan Nie; Jiawei Jiang 001; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2025)

A Comprehensive Data-centric Overview of Federated Graph Learning. - Zhengyu Wu; Xunkai Li; Yinlin Zhu; Zekai Chen; Guochen Yan; Yanyu Yan; Hao Zhang; Yuming Ai; Xinmo Jin; Rong-Hua Li; Guoren Wang (CoRR, 2025)

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting. - Zhongzheng Yuan; Lianshuai Guo; Xunkai Li; Yinlin Zhu; Wenyu Wang; Meixia Qu (CoRR, 2025)

HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization. - Yanheng Hou; Xunkai Li; Zhenjun Li; Bing Zhou; Ronghua Li; Guoren Wang (CoRR, 2025)

Federated Graph Unlearning. - Yuming Ai; Xunkai Li; Jiaqi Chao; Bowen Fan; Zhengyu Wu; Yinlin Zhu; Rong-Hua Li; Guoren Wang (CoRR, 2025)

DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning. - Lianshuai Guo; Zhongzheng Yuan; Xunkai Li; Yinlin Zhu; Meixia Qu; Wenyu Wang (CoRR, 2025)