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20132021
most citedLearning Combinatorial Optimization Algorithms over Graphs

1.1k citations · 1.5k across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.LG2019★ 10 cited

Can Graph Neural Networks Help Logic Reasoning?

Yuyu Zhang, Xinshi Chen, Yuan Yang +4

Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former has the ability to generalize with small training da…

cs.LG2018★ 23 cited

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings

Yuyu Zhang, Hanjun Dai, Kamil Toraman +1

The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question answering (QA) has been recently released. ARC only contains natural science questions authored for human ex…

cs.LG2017★ 179 cited

Variational Reasoning for Question Answering with Knowledge Graph

Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva +2

Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to fu…

cs.LG2017★ 1.1k cited

Learning Combinatorial Optimization Algorithms over Graphs

Hanjun Dai, Elias B. Khalil, Yuyu Zhang +2

The design of good heuristics or approximation algorithms for NP-hard combinatorial optimization problems often requires significant specialized knowledge and trial-and-error. Can…

cs.LG2016★ 8 cited

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines

Yuyu Zhang, Mohammad Taha Bahadori, Hang Su +1

Modern data science relies on data analytic pipelines to organize interdependent computational steps. Such analytic pipelines often involve different algorithms across multiple ste…

cs.LG2014★ 9 cited

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform

Yuyu Zhang, Liang Pang, Lei Shi +1

This paper describes the solution of Bazinga Team for Tmall Recommendation Prize 2014. With real-world user action data provided by Tmall, one of the largest B2C online retail plat…

cs.LG2013★ 3 cited

Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches

Xudong Liu, Bing Xu, Yuyu Zhang +5

The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness…