Xunkai Li

According to our database, Xunkai Li authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.

Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang

Proc. VLDB Endow., March, 2024

DiRW: Path-Aware Digraph Learning for Heterophily.

Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang

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, Rong-Hua Li, Guoren Wang

CoRR, 2024

Internal Consistency and Self-Feedback in Large Language Models: A Survey.

Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li

CoRR, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Rethinking Node-wise Propagation for Large-scale Graph Learning.

Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the ACM on Web Conference 2024, 2024

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning.

Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity.

Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Effective and General Graph Unlearning via Mutual Evolution.

Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis.

Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang

Neural Networks, July, 2023

Adaptive Hypergraph Auto-Encoder for Relational Data Clustering.

Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao

IEEE Trans. Knowl. Data Eng., March, 2023

FedGTA: Topology-aware Averaging for Federated Graph Learning.

Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang

Proc. VLDB Endow., 2023

Effective hybrid graph and hypergraph convolution network for collaborative filtering.

Xunkai Li, Ronghui Guo, Jianwen Chen, Youpeng Hu, Meixia Qu, Bin Jiang

Neural Comput. Appl., 2023

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

Handling information loss of graph convolutional networks in collaborative filtering.

Xin Xiong, Xunkai Li, Youpeng Hu, Yixuan Wu, Jian Yin

Inf. Syst., 2022

Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning.

Zijun Chen, Lihui Luo, Xunkai Li, Bin Jiang, Qiang Guo, Chunpeng Wang

IEEE Access, 2022

2021

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

2020

A Deep Graph Structured Clustering Network.

Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, Meixia Qu

IEEE Access, 2020