114 citations · 170 across the 4 of their papers we have counts for
3 papers
cs.LG2022★ 9 cited
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang, Hongyu Ren, Jure Leskovec
Few-shot knowledge graph (KG) completion task aims to perform inductive reasoning over the KG: given only a few support triplets of a new relation (e.g., (chop,,…
cs.LG2020★ 114 cited
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang, Horace He, Abhay Singh +2
Graph Neural Networks (GNNs) are the predominant technique for learning over graphs. However, there is relatively little understanding of why GNNs are successful in practice and wh…
cs.LG2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack
Qian Huang, Isay Katsman, Horace He +3
Neural networks are vulnerable to adversarial examples, malicious inputs crafted to fool trained models. Adversarial examples often exhibit black-box transfer, meaning that adversa…