Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, and Jie Tang. GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. In Proceedings of the Twenty-Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’20). [code]
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, and Shengyu Zhang (Authors are ordered alphabetically). Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. In ICLR workshop of Representation Learning on Graphs and Manifolds, 2019. [contest][code]
Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, and Jie Tang. DeepInf: Social Influence Prediction with Deep Learning. In Proceedings of the Twenty-Forth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’18). [code]
Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, and Yufei Xue. Modeling and Predicting Learning Behavior in MOOCs. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM’16).