190 citations · 585 across the 29 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CL2020★ 7 cited
On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Mutian He, Yangqiu Song, Kun Xu +1
Commonsense knowledge graphs (CKGs) like Atomic and ASER are substantially different from conventional KGs as they consist of much larger number of nodes formed by loosely-structur…
cs.LG2020★ 58 cited
A Survey of Adversarial Learning on Graphs
Liang Chen, Jintang Li, Jiaying Peng +6
Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g., node classification, link prediction, and graph clustering. However, they…
cs.LG2020★ 67 cited
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong +3
Adversarial training (AT) is one of the most effective defenses against adversarial attacks for deep learning models. In this work, we advocate incorporating the hypersphere embedd…