1 code implementation • 1 Apr 2019 • Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
We introduce a novel approach to graph-level representation learning, which is to embed an entire graph into a vector space where the embeddings of two graphs preserve their graph-graph proximity.
Ranked #1 on Graph Classification on Web
no code implementations • 25 Sep 2019 • Yunsheng Bai, Derek Xu, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang
Maximum Common Subgraph (MCS) is defined as the largest subgraph that is commonly present in both graphs of a graph pair.
no code implementations • 11 Jun 2020 • Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang
We introduce Bi-GNN for modeling biological link prediction tasks such as drug-drug interaction (DDI) and protein-protein interaction (PPI).
1 code implementation • NAACL (maiworkshop) 2021 • Ken Gu, Akshay Budhkar
Recent progress in natural language processing has led to Transformer architectures becoming the predominant model used for natural language tasks.