Session Chairs: Tyler Derr (tyler.derr@vanderbilt.edu), Meng Jiang (mjiang2@nd.edu)
Doctoral Consortium will be held during the Morning Session on Monday 21st, 2022.
Improving Text Generation via Neural Discourse Planning
Alexander Chernyavskiy, National Research University Higher School of Economics
Robust Graph Learning for Misbehavior Detection
Yingtong Dou, University of Illinois Chicago
Graph Neural Networks and its Applications, with a Focus on Node Clustering in Signed and Directed Networks
Yixuan He, University of Oxford
Towards Practical Robustness Evaluation and Robustness Enhancing
Yaxin Li, Michigan State University
Trustworthy Machine Learning
Haochen Liu, Michigan State University
From Uni-relational to Multi-relational Graph Neural Networks
Juanhui Li, Michigan State University
Obtaining Robust Models from Imbalanced Data
Wentao Wang, Michigan State University
Fair Graph Representation Learning with Imbalanced and Biased Data
Yu Wang, Vanderbilt University
Bias of Adversarial Defenses
Han Xu, Michigan State University