Xunkai Li - RankMe

89 papers A* 10A 2Journal 77

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Ronghua Li, Guoren Wang
2026	J	`jnl`	A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms? CoRR Henan Sun, Kaichi Yu, Yuyao Wang, Bowen Liu, Xunkai Li, Rong-Hua Li, Nuo Chen, Jia Li
2026	J	`jnl`	BoostFGL: Boosting Fairness in Federated Graph Learning. CoRR Zekai Chen, Kairui Yang, Xunkai Li, Henan Sun, Zhihan Zhang, Jia Li, Qiangqiang Dai, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs. CoRR Zekai Chen, Haodong Lu, Xunkai Li, Henan Sun, Jia Li, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis. CoRR Ru Zhang, Xunkai Li, Yaxin Deng, Sicheng Liu, Daohan Su, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang, Jia Li
2026	J	`jnl`	Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Effective Bug Detection in Graph Database Engines: An LLM-Based Approach. IEEE Trans. Knowl. Data Eng. Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Hongchao Qin, Guoren Wang
2026	J	`jnl`	FedASU: Attention-guided sensitivity unlearning framework for multi-scenario federated graph unlearning. Expert Syst. Appl. Jiaqi Chao, Xunkai Li, Yuming Ai, Meixia Qu
2026	J	`jnl`	LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning. CoRR Xunkai Li, Zhengyu Wu, Zekai Chen, Henan Sun, Daohan Su, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning. CoRR Xunkai Li, Yuming Ai, Yinlin Zhu, Haodong Lu, Yi Zhang, Guohao Fu, Bowen Fan, Qiangqiang Dai, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	OpenDDI: A Comprehensive Benchmark for DDI Prediction. CoRR Xinmo Jin, Bowen Fan, Xunkai Li, Henan Sun, YuXin Zeng, Zekai Chen, Yuxuan Sun, Jia Li, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph. CoRR Chenxi Wan, Xunkai Li, Yilong Zuo, Haokun Deng, Sihan Li, Bowen Fan, Hongchao Qin, Ronghua Li, Guoren Wang
2026	J	`jnl`	OptiMAG: Structure-Semantic Alignment via Unbalanced Optimal Transport. CoRR Yilong Zuo, Xunkai Li, Zhihan Zhang, Qiangqiang Dai, Ronghua Li, Guoren Wang
2026	A*	`conf`	PAGE: A Unified Approach for Federated Graph Unlearning. AAAI Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach. CoRR Yinlin Zhu, Di Wu, Xianzhi Zhang, Yuming Ai, Xunkai Li, Miao Hu, Guocong Quan
2026	J	`jnl`	Scalable Topology-Preserving Graph Coarsening with Graph Collapse. CoRR Xiang Wu, Rong-Hua Li, Xunkai Li, Kangfei Zhao, Hongchao Qin, Guoren Wang
2026	J	`jnl`	TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	TMTE: Effective Multimodal Graph Learning with Task-aware Modality and Topology Co-evolution. CoRR Yinlin Zhu, Xunkai Li, Di Wu, Wang Luo, Miao Hu
2026	J	`jnl`	Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach. CoRR Sicheng Liu, Xunkai Li, Daohan Su, Ru Zhang, Hongchao Qin, Ronghua Li, Guoren Wang
2026	J	`jnl`	Towards effective few-shot OOD detection for text-attributed graphs via topology-Text consensus modeling. Knowl. Based Syst. Xu Wang, Yinlin Zhu, Xunkai Li, Meixia Qu, Wenyu Wang
2026	A*	`conf`	Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs. WWW Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	A Comprehensive Data-centric Overview of Federated Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Zekai Chen, Guochen Yan, Yanyu Yan, Hao Zhang, Yuming Ai, Xinmo Jin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. IEEE Trans. Knowl. Data Eng. Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui
2025	J	`jnl`	DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning. CoRR Lianshuai Guo, Zhongzheng Yuan, Xunkai Li, Yinlin Zhu, Meixia Qu, Wenyu Wang
2025	A	`conf`	DiRW: Path-Aware Digraph Learning for Heterophily. CIKM Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling. CoRR Zhengyu Wu, Yinlin Zhu, Xunkai Li, Ziang Qiu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning. CoRR Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation. Neural Networks Qi Lin, Jishuo Jia, Yinlin Zhu, Xunkai Li, Bin Jiang, Meixia Qu
2025	J	`jnl`	FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting. CoRR Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Yinlin Zhu, Wenyu Wang, Meixia Qu
2025	J	`jnl`	Federated Graph Unlearning. CoRR Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Federated Prototype Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments. CoRR Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization. CoRR Yanheng Hou, Xunkai Li, Zhenjun Li, Bing Zhou, Ronghua Li, Guoren Wang
2025	J	`jnl`	MagicDock: Toward Docking-oriented De Novo Ligand Design via Gradient Inversion. CoRR Zekai Chen, Xunkai Li, Sirui Zhang, Henan Sun, Jia Li, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. Proc. VLDB Endow. Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Ronghua Li, Guoren Wang
2025	J	`jnl`	OpenGU: A Comprehensive Benchmark for Graph Unlearning. CoRR Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Rong-Hua Li, Guoren Wang
2025	A	`conf`	Rethinking Client-oriented Federated Graph Learning. CIKM Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Rethinking Federated Graph Learning: A Data Condensation Perspective. IJCAI Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu
2025	J	`jnl`	Rethinking Federated Graph Learning: A Data Condensation Perspective. CoRR Hao Zhang, Xunkai Li, Yinlin Zhu, Lianglin Hu
2025	J	`jnl`	Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective. CoRR Henan Sun, Xunkai Li, Lei Zhu, Junyi Han, Guang Zeng, Ronghua Li, Guoren Wang
2025	J	`jnl`	Rethinking Graph Structure Learning in the Era of LLMs. CoRR Zhihan Zhang, Xunkai Li, Guang Zeng, Hongchao Qin, Ronghua Li, Guoren Wang
2025	J	`jnl`	ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning. CoRR Xiang Wu, Xunkai Li, Rong-Hua Li, Kangfei Zhao, Guoren Wang
2025	J	`jnl`	State Space Models over Directed Graphs. CoRR Junzhi She, Xunkai Li, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. ICML Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. CoRR Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. WWW Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. CoRR Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward General Digraph Contrastive Learning: A Dual Spatial Perspective. CoRR Daohan Su, Yang Zhang, Xunkai Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward General and Robust LLM-enhanced Text-attributed Graph Learning. CoRR Zihao Zhang, Xunkai Li, Rong-Hua Li, Bing Zhou, Zhenjun Li, Guoren Wang
2025	J	`jnl`	Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach. CoRR Huilin Lai, Guang Zeng, Xunkai Li, Xudong Shen, Yinlin Zhu, Ye Luo, Jianwei Lu, Lei Zhu
2025	J	`jnl`	Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach. CoRR Xunkai Li, Bowen Fan, Zhengyu Wu, Zhiyu Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement. CoRR Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu
2025	J	`jnl`	Towards Unbiased Federated Graph Learning: Label and Topology Perspectives. CoRR Zhengyu Wu, Boyang Pang, Xunkai Li, Yinlin Zhu, Daohan Su, Bowen Fan, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models. CoRR Xunkai Li, Daohan Su, Sicheng Liu, Ru Zhang, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs. CoRR Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach. CoRR Zhihan Zhang, Xunkai Li, Yilong Zuo, Zhaoxin Fan, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty. CoRR Yanzhe Wen, Xunkai Li, Qi Zhang, Zhu Lei, Guang Zeng, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Acceleration Algorithms in GNNs: A Survey. CoRR Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
2024	A*	`conf`	AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. ICDE Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. CoRR Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. ICDE Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	DiRW: Path-Aware Digraph Learning for Heterophily. CoRR Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. IJCAI Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	Federated Continual Graph Learning. CoRR Yinlin Zhu, Xunkai Li, Miao Hu, Di Wu
2024	J	`jnl`	Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks. CoRR Xunkai Li, Zhengyu Wu, Jiayi Wu, Hanwen Cui, Jishuo Jia, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li
2024	J	`jnl`	LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. CoRR Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. Proc. VLDB Endow. Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang
2024	J	`jnl`	OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. CoRR Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Rethinking Node-wise Propagation for Large-scale Graph Learning. CoRR Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. Proc. VLDB Endow. Yuchen Meng, Ronghua Li, Longlong Lin, Xunkai Li, Guoren Wang
2024	J	`jnl`	Toward Personalized Federated Node Classification in One-shot Communication. CoRR Guochen Yan, Xunkai Li, Luyuan Xie, Wentao Zhang, Qingni Shen, Yuejian Fang, Zhonghai Wu
2024	J	`jnl`	Towards Data-centric Machine Learning on Directed Graphs: a Survey. CoRR Henan Sun, Xunkai Li, Daohan Su, Junyi Han, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Towards Effective and General Graph Unlearning via Mutual Evolution. AAAI Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Towards Effective and General Graph Unlearning via Mutual Evolution. CoRR Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Adaptive Hypergraph Auto-Encoder for Relational Data Clustering. IEEE Trans. Knowl. Data Eng. Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao
2023	J	`jnl`	Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. CoRR Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Effective hybrid graph and hypergraph convolution network for collaborative filtering. Neural Comput. Appl. Xunkai Li, Ronghui Guo, Jianwen Chen, Youpeng Hu, Meixia Qu, Bin Jiang
2023	J	`jnl`	FedGTA: Topology-aware Averaging for Federated Graph Learning. Proc. VLDB Endow. Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang
2023	J	`jnl`	LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis. Neural Networks Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang
2022	J	`jnl`	Graph relation embedding network for click-through rate prediction. Knowl. Inf. Syst. Yixuan Wu, Youpeng Hu, Xin Xiong, Xunkai Li, Ronghui Guo, Shuiguang Deng
2022	J	`jnl`	Handling information loss of graph convolutional networks in collaborative filtering. Inf. Syst. Xin Xiong, Xunkai Li, Youpeng Hu, Yixuan Wu, Jian Yin
2022	J	`jnl`	Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning. IEEE Access Zijun Chen, Lihui Luo, Xunkai Li, Bin Jiang, Qiang Guo, Chunpeng Wang
2021	J	`jnl`	A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering. IEEE Access Ronghui Guo, Xunkai Li, Youpeng Hu, Yixuan Wu, Xin Xiong, Meixia Qu
2020	J	`jnl`	A Deep Graph Structured Clustering Network. IEEE Access Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, Meixia Qu