ArieL: Adversarial Graph Contrastive Learning
- Shengyu Feng
- Baoyu Jing
- et al.
- 2024
- ACM TKDD
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14 results at ACM TKDD
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
- Hanlu Wu
- Tengfei Ma
- et al.
- 2022
- ACM TKDD
Performance bounds of decentralized search in expert networks forquery answering
- Liang Ma
- Mudhakar Srivatsa
- et al.
- 2019
- ACM TKDD
Introduction to special issue on the best papers from KDD 2016
- Charu C. Aggarwal
- 2017
- ACM TKDD
World knowledge as indirect supervision for document clustering
- Chenguang Wang
- Yangqiu Song
- et al.
- 2016
- ACM TKDD
Structural analysis of user choices for mobile app recommendation
- Bin Liu
- Yao Wu
- et al.
- 2016
- ACM TKDD
Co-clustering structural temporal data with applications to semiconductor manufacturing
- Yada Zhu
- Jingrui He
- 2016
- ACM TKDD
Mining influencers using information flows in social streams
- Karthik Subbian
- Charu Aggarwal
- et al.
- 2016
- ACM TKDD
On data publishing with clustering preservation
- Michalis Vlachos
- Johannes Schneider
- et al.
- 2015
- ACM TKDD
Structured sparse boosting for graph classification
- Hongliang Fei
- Jun Huan
- 2014
- ACM TKDD