Kaize Ding
2023
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
Yixin Liu
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Kaize Ding
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Huan Liu
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Shirui Pan
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023
Few-shot Node Classification with Extremely Weak Supervision
Song Wang
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Yushun Dong
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Kaize Ding
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Chen Chen
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Jundong Li
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023
2022
Graph Minimally-supervised Learning
Kaize Ding
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Jundong Li
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Nitesh V. Chawla
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Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
Graph Few-shot Class-incremental Learning
Zhen Tan
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Kaize Ding
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Ruocheng Guo
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Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
2021
Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang
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Kaize Ding
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James Caverlee
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning
Kaize Ding
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Xuan Shan
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Huan Liu
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter
Yushun Dong
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Kaize Ding
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Brian Jalaian
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Shuiwang Ji
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Jundong Li
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
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Qinghai Zhou
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Hanghang Tong
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Huan Liu
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
2020
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
Kaize Ding
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Kai Shu
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Yichuan Li
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Amrita Bhattacharjee
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Huan Liu
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion
Jianling Wang
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Kaize Ding
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Ziwei Zhu
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Yin Zhang
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James Caverlee
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
Next-item Recommendation with Sequential Hypergraphs
Jianling Wang
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Kaize Ding
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Liangjie Hong
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Huan Liu
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James Caverlee
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Graph Few-shot Learning with Attribute Matching
Ning Wang
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Minnan Luo
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Kaize Ding
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Lingling Zhang
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Jundong Li
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Qinghua Zheng
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
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Jianling Wang
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Jundong Li
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Kai Shu
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Chenghao Liu
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Huan Liu
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
2019
Interactive Anomaly Detection on Attributed Networks
Kaize Ding
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Jundong Li
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Huan Liu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Co-authors
- Huan Liu 9
- Jundong Li 6
- Jianling Wang 4
- James Caverlee 3
- Kai Shu 2
- show all...
- Yushun Dong 2
- Qinghai Zhou 1
- Hanghang Tong 1
- Chenghao Liu 1
- Minnan Luo 1
- Qinghua Zheng 1
- Lingling Zhang 1
- Ning Wang 1
- Brian Jalaian 1
- Shuiwang Ji 1
- Xuan Shan 1
- Liangjie Hong 1
- Ziwei Zhu 1
- Yin Zhang 1
- Chen Chen 1
- Song Wang 1
- Yixin Liu 1
- Shirui Pan 1
- Zhen Tan 1
- Ruocheng Guo 1
- Nitesh V. Chawla 1
- Yichuan Li 1
- Amrita Bhattacharjee 1