Xixun Lin

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Mutual Information Maximization

Maximum Matching

Graph Embedding

Top Venues

Pattern Recognit.

Publications

Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27 (3) (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognit. 133 (2023)
Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP (2022)
Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. SIGIR (2022)
Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang
Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP (2021)
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
Task-adaptive Neural Process for User Cold-Start Recommendation. CoRR (2021)
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
Task-adaptive Neural Process for User Cold-Start Recommendation. WWW (2021)
Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang
Deep Structural Point Process for Learning Temporal Interaction Networks. ECML/PKDD (1) (2021)
Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang
Deep Structural Point Process for Learning Temporal Interaction Networks. CoRR (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. WSDM (2021)
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM (2021)
Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
Bipartite Graph Embedding via Mutual Information Maximization. CoRR (2020)
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang
Exploratory Adversarial Attacks on Graph Neural Networks. ICDM (2020)
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. ICDM (2019)
Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
Relation path embedding in knowledge graphs. Neural Comput. Appl. 31 (9) (2019)
Xixun Lin, Yanchun Liang, Limin Wang, Xu Wang, Mary Qu Yang, Renchu Guan
A Knowledge Base Completion Model Based on Path Feature Learning. Int. J. Comput. Commun. Control 13 (1) (2018)
Xixun Lin, Yanchun Liang, Renchu Guan
Compositional Learning of Relation Paths Embedding for Knowledge Base Completion. CoRR (2016)