Search Results for author: Ken Gu

Found 4 papers, 1 papers with code

A Package for Learning on Tabular and Text Data with Transformers

no code implementations 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.

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction

no code implementations11 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).

Link Prediction

Neural Maximum Common Subgraph Detection with Guided Subgraph Extraction

no code implementations25 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.

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

1 code implementation1 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.

General Classification Graph Classification +2

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