Xixun Lin
Cited by
Cited by
Bipartite graph embedding via mutual information maximization
J Cao, X Lin, S Guo, L Liu, T Liu, B Wang
Proceedings of the 14th ACM international conference on web search and data …, 2021
Task-adaptive neural process for user cold-start recommendation
X Lin, J Wu, C Zhou, S Pan, Y Cao, B Wang
Proceedings of the Web Conference 2021, 1306-1316, 2021
Disencdr: Learning disentangled representations for cross-domain recommendation
J Cao, X Lin, X Cong, J Ya, T Liu, B Wang
Proceedings of the 45th International ACM SIGIR conference on research and …, 2022
Guiding cross-lingual entity alignment via adversarial knowledge embedding
X Lin, H Yang, J Wu, C Zhou, B Wang
2019 IEEE International conference on data mining (ICDM), 429-438, 2019
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
X Lin, C Zhou, J Wu, H Yang, H Wang, Y Cao, B Wang
Pattern Recognition, 2022
Relation path embedding in knowledge graphs
X Lin, Y Liang, F Giunchiglia, X Feng, R Guan
Neural Computing and Applications 31, 5629-5639, 2019
Exploratory adversarial attacks on graph neural networks
X Lin, C Zhou, H Yang, J Wu, H Wang, Y Cao, B Wang
2020 IEEE International Conference on Data Mining (ICDM), 1136-1141, 2020
Deep structural point process for learning temporal interaction networks
J Cao, X Lin, X Cong, S Guo, H Tang, T Liu, B Wang
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
Learning entity and relation embeddings with entity description for knowledge graph completion
S Dai, Y Liang, S Liu, Y Wang, W Shao, X Lin, X Feng
2018 2nd International Conference on Artificial Intelligence: Technologies …, 2018
Structure-aware prototypical neural process for few-shot graph classification
X Lin, Z Li, P Zhang, L Liu, C Zhou, B Wang, Z Tian
IEEE Transactions on Neural Networks and Learning Systems 35 (4), 4607-4621, 2022
Compositional learning of relation path embedding for knowledge base completion
X Lin, Y Liang, F Giunchiglia, X Feng, R Guan
arXiv preprint arXiv:1611.07232, 2016
Disentangled deep multivariate hawkes process for learning event sequences
X Lin, J Cao, P Zhang, C Zhou, Z Li, J Wu, B Wang
2021 IEEE International Conference on Data Mining (ICDM), 360-369, 2021
Improving cross-domain slot filling with common syntactic structure
L Liu, X Lin, P Zhang, B Wang
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
A knowledge base completion model based on path feature learning
X Lin, Y Liang, L Wang, X Wang, M Yang, R Guan
International journal of computers, communications & control 13 (1), 71, 2018
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily
F Shi, Y Cao, R Li, X Lin, Y Shang, C Zhou, J Wu, S Pan
World Wide Web 27 (3), 32, 2024
Towards flexible and adaptive neural process for cold-start recommendation
X Lin, C Zhou, J Wu, L Zou, S Pan, Y Cao, B Wang, S Wang, D Yin
IEEE Transactions on Knowledge and Data Engineering, 2023
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
X Lin, W Zhang, F Shi, C Zhou, L Zou, X Zhao, D Yin, S Pan, Y Cao
Forty-first International Conference on Machine Learning, 2024
Neural Jump-Diffusion Temporal Point Processes
S Zhang, C Zhou, YA Liu, P Zhang, X Lin, ZM Ma
International Conference on Machine Learning (ICML) Spotlight, 2024
Learning Common Dependency Structure for Unsupervised Cross-Domain NER
L Liu, X Lin, P Zhang, L Zhang, B Wang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Ibpl: Information Bottleneck-Based Prompt Learning for Graph Out-of-Distribution Detection
Y Cao, F Shi, Q Yu, X Lin, C Zhou, L Zou, P Zhang, Z Li, D Yin
Available at SSRN 4895566, 0
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