Mucong Ding

Robust Optimization as Data Augmentation for Large-scale Graphs

Kezhi Kong, Guohao Li, Mucong Ding et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 79 citations

Geometric Learning, Graph Sparsity, Graph Representation Learning +16

FLAG: Adversarial Data Augmentation for Graph Neural Networks

Kezhi Kong, Guohao Li, Mucong Ding et al. · arXiv (Cornell University) · 2021 · 73 citations · Full text

Geometric Learning, Data Augmentation, Graph Neural Networks +10

Transfer Learning using Representation Learning in Massive Open Online Courses

Mucong Ding, Yanbang Wang, Erik Hemberg et al. · 2019 · 24 citations

E-learning, Engineering, Machine Learning +22

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses

Mucong Ding, Kai Yang, Dit‐Yan Yeung et al. · 2019 · 22 citations

E-learning, Engineering, Machine Learning +24

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using\n Vector Quantization

Mucong Ding, Kezhi Kong, Jingling Li et al. · arXiv (Cornell University) · 2021 · 18 citations · Full text