most citedWhen Does Self-Supervision Help Graph Convolutional Networks?

65 citations · 65 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.BM2020

Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction

Yuning You, Yang Shen

Compound-protein pairs dominate FDA-approved drug-target pairs and the prediction of compound-protein affinity and contact (CPAC) could help accelerate drug discovery. In this stud…

cs.LG2020

Graph Contrastive Learning with Augmentations

Yuning You, Tianlong Chen, Yongduo Sui +3

Generalizable, transferrable, and robust representation learning on graph-structured data remains a challenge for current graph neural networks (GNNs). Unlike what has been develop…

cs.LG202065 cited

When Does Self-Supervision Help Graph Convolutional Networks?

Yuning You, Tianlong Chen, Zhangyang Wang +1

Self-supervision as an emerging technique has been employed to train convolutional neural networks (CNNs) for more transferrable, generalizable, and robust representation learning…

cs.LG2020

L-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Yuning You, Tianlong Chen, Zhangyang Wang +1

Graph convolution networks (GCN) are increasingly popular in many applications, yet remain notoriously hard to train over large graph datasets. They need to compute node representa…

eess.SP2019

Sphere Bounding Scheme for Probabilistic Robust Constructive Interference Precoding in MISO Downlink Transmission

Yuning You, Gangming Lv

In this letter, we propose a sphere bounding scheme for probabilistic robust constructive interference (CI) power minimizing precoding, to address the imperfect channel state infor…