Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Graph-based Multi-hop Reasoning for Long Text Generation

Sep 28, 2020
Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun


  Access Paper or Ask Questions

DVE: Dynamic Variational Embeddings with Applications in Recommender Systems

Aug 27, 2020
Meimei Liu, Hongxia Yang


  Access Paper or Ask Questions

DeVLBert: Learning Deconfounded Visio-Linguistic Representations

Aug 16, 2020
Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu

* 10 pages, 4 figures, to appear in ACM MM 2020 proceedings 

  Access Paper or Ask Questions

Poet: Product-oriented Video Captioner for E-commerce

Aug 16, 2020
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Jie Liu, Jingren Zhou, Hongxia Yang, Fei Wu

* 10 pages, 3 figures, to appear in ACM MM 2020 proceedings 

  Access Paper or Ask Questions

A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning

Jul 19, 2020
Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang

* Part of this work was carried out while the first author interned at Alibaba 

  Access Paper or Ask Questions

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Jul 02, 2020
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang

* 11 pages, 5 figures, to appear in KDD 2020 proceedings 

  Access Paper or Ask Questions

Comprehensive Information Integration Modeling Framework for Video Titling

Jun 24, 2020
Shengyu Zhang, Ziqi Tan, Jin Yu, Zhou Zhao, Kun Kuang, Tan Jiang, Jingren Zhou, Hongxia Yang, Fei Wu

* 11 pages, 6 figures, to appear in KDD 2020 proceedings 

  Access Paper or Ask Questions

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Jun 11, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


  Access Paper or Ask Questions

Variational Auto-encoder for Recommender Systems with Exploration-Exploitation

Jun 10, 2020
Yizi Zhang, Hongxia Yang, Meimei Liu

* 8 pages, 3 figures, submitted to NeurIPS 2020 

  Access Paper or Ask Questions

Contrastive Learning for Debiased Candidate Generation at Scale

Jun 02, 2020
Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang


  Access Paper or Ask Questions

Understanding Negative Sampling in Graph Representation Learning

May 20, 2020
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

* KDD 2020 

  Access Paper or Ask Questions

Controllable Multi-Interest Framework for Recommendation

May 19, 2020
Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

* Accepted to KDD 2020 

  Access Paper or Ask Questions

InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining

Mar 30, 2020
Junyang Lin, An Yang, Yichang Zhang, Jie Liu, Jingren Zhou, Hongxia Yang

* 11 pages, 4 figures 

  Access Paper or Ask Questions

Learning to Hash with Graph Neural Networks for Recommender Systems

Mar 04, 2020
Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu

* 11 pages, 7 figures 

  Access Paper or Ask Questions

Grounded and Controllable Image Completion by Incorporating Lexical Semantics

Feb 29, 2020
Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu

* 9 pages, 9 figures 

  Access Paper or Ask Questions

Learning Disentangled Representations for Recommendation

Oct 31, 2019
Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

* To appear in the Proceedings of the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) 

  Access Paper or Ask Questions

Towards Knowledge-Based Recommender Dialog System

Sep 03, 2019
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

* To appear in EMNLP 2019 

  Access Paper or Ask Questions

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks

Aug 28, 2019
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

* 25 pages, 5 figures, 10 tables. CIKM 2019 

  Access Paper or Ask Questions

Dimensional Reweighting Graph Convolutional Networks

Jul 04, 2019
Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang


  Access Paper or Ask Questions

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

Jun 13, 2019
Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang


  Access Paper or Ask Questions

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Jun 04, 2019
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

* ACL 2019 

  Access Paper or Ask Questions

Sequential Scenario-Specific Meta Learner for Online Recommendation

Jun 02, 2019
Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019 

  Access Paper or Ask Questions

Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding

May 25, 2019
Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu


  Access Paper or Ask Questions

Representation Learning for Attributed Multiplex Heterogeneous Network

May 20, 2019
Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019. Website: https://sites.google.com/view/gatne 

  Access Paper or Ask Questions