Xiao Shen

Kup-Sze Choi

Xi Zhou

Neurocomputing, 2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Denoising-Aware Contrastive Learning for Noisy Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Corrigendum to " Domain-adaptive Message Passing Graph Neural Network" [Neural Netw. 164 (2023) 439-454].

[BibT_eX]

[DOI]

Neural Networks, November, 2023

Domain-adaptive message passing graph neural network.

[BibT_eX]

[DOI]

Neural Networks, July, 2023

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.

[BibT_eX]

[DOI]

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

Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Label-Aware Hierarchical Contrastive Domain Adaptation for Cross-Network Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Neighbor Contrastive Learning on Learnable Graph Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Network Together: Node Classification via Cross-Network Deep Network Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Adversarial training regularization for negative sampling based network embedding.

[BibT_eX]

[DOI]

Inf. Sci., 2021

2020

Cross-Network Learning With Fuzzy Labels for Seed Selection and Graph Sparsification in Influence Maximization.

[BibT_eX]

[DOI]

Korris Fu-Lai Chung

IEEE Trans. Fuzzy Syst., 2020

Deep Network Embedding for Graph Representation Learning in Signed Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Deep Network Embedding for Cross-Network Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution.

[BibT_eX]

[DOI]

CoRR, 2019

Network Embedding for Cross-network Node Classification.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Training Methods for Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

2018

Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Deep Network Embedding with Aggregated Proximity Preserving.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Persuasion driven influence analysis in online social networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Incorporating trust relationships in collaborative filtering recommender system.

[BibT_eX]

[DOI]