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Xixun Lin
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2020 – today
- 2025
- [j7]Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang:
A data-centric framework of improving graph neural networks for knowledge graph embedding. World Wide Web (WWW) 28(1): 2 (2025) - 2024
- [j6]Xixun Lin
, Chuan Zhou
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j5]Xixun Lin, Zhao Li
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4607-4621 (2024) - [j4]Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27(3): 32 (2024) - [c11]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c10]Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma:
Neural Jump-Diffusion Temporal Point Processes. ICML 2024 - 2023
- [j3]Xixun Lin, Chuan Zhou
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognit. 133: 109042 (2023) - 2022
- [c9]Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang:
Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. ICASSP 2022: 8347-8351 - [c8]Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang:
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. SIGIR 2022: 267-277 - 2021
- [c7]Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang:
Improving Cross-Domain Slot Filling with Common Syntactic Structure. ICASSP 2021: 7638-7642 - [c6]Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM 2021: 360-369 - [c5]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: 305-320 - [c4]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. WSDM 2021: 635-643 - [c3]Xixun Lin, Jia Wu
Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021: 1306-1316 - [i4]Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang:
Task-adaptive Neural Process for User Cold-Start Recommendation. CoRR abs/2103.06137 (2021) - [i3]Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang:
Deep Structural Point Process for Learning Temporal Interaction Networks. CoRR abs/2107.03573 (2021) - 2020
- [c2]Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu
Exploratory Adversarial Attacks on Graph Neural Networks. ICDM 2020: 1136-1141 - [i2]Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang:
Bipartite Graph Embedding via Mutual Information Maximization. CoRR abs/2012.05442 (2020)
2010 – 2019
- 2019
- [j2]Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
Relation path embedding in knowledge graphs. Neural Comput. Appl. 31(9): 5629-5639 (2019) - [c1]Xixun Lin, Hong Yang, Jia Wu
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. ICDM 2019: 429-438 - 2018
- [j1]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): 71-82 (2018) - 2016
- [i1]Xixun Lin, Yanchun Liang, Renchu Guan:
Compositional Learning of Relation Paths Embedding for Knowledge Base Completion. CoRR abs/1611.07232 (2016)
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