activity
20122022
most citedLearning Combinatorial Optimization Algorithms over Graphs

1.1k citations · 5.5k across the 100 of their papers we have counts for

collaborators
Showing 2020Show all

13 papers · 1 filter

cond-mat.soft2020

Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders

Rohit Batra, Hanjun Dai, Tran Doan Huan +5

The design/discovery of new materials is highly non-trivial owing to the near-infinite possibilities of material candidates, and multiple required property/performance objectives.…

cs.CL2020★ 2 cited

Answering Any-hop Open-domain Questions with Iterative Document Reranking

Ping Nie, Yuyu Zhang, Arun Ramamurthy +1

Existing approaches for open-domain question answering (QA) are typically designed for questions that require either single-hop or multi-hop reasoning, which make strong assumption…

cs.AI2020★ 2 cited

Question Directed Graph Attention Network for Numerical Reasoning over Text

Kunlong Chen, Weidi Xu, Xingyi Cheng +6

Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language un…

cs.LG2020★ 42 cited

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

Binghong Chen, Chengtao Li, Hanjun Dai +1

Retrosynthetic planning is a critical task in organic chemistry which identifies a series of reactions that can lead to the synthesis of a target product. The vast number of possib…

cs.LG2020★ 22 cited

Bandit Samplers for Training Graph Neural Networks

Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang +4

Several sampling algorithms with variance reduction have been proposed for accelerating the training of Graph Convolution Networks (GCNs). However, due to the intractable computati…

cs.LG2020★ 18 cited

Learning to Stop While Learning to Predict

Xinshi Chen, Hanjun Dai, Yu Li +2

There is a recent surge of interest in designing deep architectures based on the update steps in traditional algorithms, or learning neural networks to improve and replace traditio…