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2020 – today
- 2024
[j10]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. Proc. VLDB Endow. 17(7): 1542-1551 (2024)- [c5]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. AAAI 2024: 13682-13690 - [c4]Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang:
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. ICDE 2024: 2379-2392 - [c3]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. ICDE 2024: 2517-2530 - [c2]Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. IJCAI 2024: 5716-5724 - [c1]Xunkai Li
, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW 2024: 560-569 - [i11]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. CoRR abs/2401.11750 (2024) - [i10]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR abs/2401.11755 (2024) - [i9]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. CoRR abs/2401.11760 (2024) - [i8]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. CoRR abs/2401.11772 (2024) - [i7]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. CoRR abs/2402.06128 (2024) - [i6]Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR abs/2404.14061 (2024) - [i5]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. CoRR abs/2405.04114 (2024) - [i4]Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li:
Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR abs/2407.14507 (2024) - [i3]Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. CoRR abs/2408.16288 (2024) - [i2]Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang:
DiRW: Path-Aware Digraph Learning for Heterophily. CoRR abs/2410.10320 (2024) - 2023
- [j9]Xunkai Li, Ronghui Guo, Jianwen Chen, Youpeng Hu, Meixia Qu, Bin Jiang:
Effective hybrid graph and hypergraph convolution network for collaborative filtering. Neural Comput. Appl. 35(3): 2633-2646 (2023) - [j8]Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang:
LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis. Neural Networks 164: 719-730 (2023) - [j7]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. Proc. VLDB Endow. 17(1): 41-50 (2023) - [j6]Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao:
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering. IEEE Trans. Knowl. Data Eng. 35(3): 2231-2242 (2023) - [i1]Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang:
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. CoRR abs/2312.04111 (2023) - 2022
- [j5]Zijun Chen, Lihui Luo, Xunkai Li, Bin Jiang, Qiang Guo, Chunpeng Wang:
Siamese Network Based Multiscale Self-Supervised Heterogeneous Graph Representation Learning. IEEE Access 10: 98490-98500 (2022) - [j4]Xin Xiong, Xunkai Li, Youpeng Hu, Yixuan Wu, Jian Yin:
Handling information loss of graph convolutional networks in collaborative filtering. Inf. Syst. 109: 102051 (2022) - [j3]Yixuan Wu, Youpeng Hu, Xin Xiong, Xunkai Li, Ronghui Guo, Shuiguang Deng:
Graph relation embedding network for click-through rate prediction. Knowl. Inf. Syst. 64(9): 2543-2564 (2022) - 2021
- [j2]Ronghui Guo, Xunkai Li, Youpeng Hu, Yixuan Wu, Xin Xiong, Meixia Qu:
A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering. IEEE Access 9: 77407-77415 (2021) - 2020
- [j1]Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, Meixia Qu:
A Deep Graph Structured Clustering Network. IEEE Access 8: 161727-161738 (2020)
Coauthor Index
aka: Rong-Hua Li
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