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Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations


Jun 05, 2021
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang


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Counterfactual Graph Learning for Link Prediction


Jun 03, 2021
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang


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Cross-Network Learning with Partially Aligned Graph Convolutional Networks


Jun 03, 2021
Meng Jiang

* 9 pages, 8 figures, KDD 2021 

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Sentence-Permuted Paragraph Generation


Apr 15, 2021
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang

* 19 pages, 6 figures 

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TCN: Table Convolutional Network for Web Table Interpretation


Feb 17, 2021
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang


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Few-Shot Graph Learning for Molecular Property Prediction


Feb 16, 2021
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla

* To appear in WWW 2021 (long paper); Code is available at https://github.com/zhichunguo/Meta-MGNN 

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Validating Label Consistency in NER Data Annotation


Jan 21, 2021
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang


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Early Anomaly Detection by Learning and Forecasting Behavior


Oct 20, 2020
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang

* under review (10 pages) 

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Technical Question Answering across Tasks and Domains


Oct 19, 2020
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang

* 10 pages, 6 figures 

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A Survey of Knowledge-Enhanced Text Generation


Oct 09, 2020
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

* 44 pages; Preprint; A paper and code collection is available at https://github.com/wyu97/KENLG-Reading 

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Injecting Entity Types into Entity-Guided Text Generation


Sep 28, 2020
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang

* Preprint; Under review as a conference paper; Code is available at: https://github.com/wyu97/InjType 

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Federated Dynamic GNN with Secure Aggregation


Sep 15, 2020
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao

* 16 pages, 2 figures 

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Learning Attribute-Structure Co-Evolutions in Dynamic Graphs


Jul 25, 2020
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang


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Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic


Jul 16, 2020
Zhiyu Liu, Meng Jiang, Hai Lin


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Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network


Jun 17, 2020
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang


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Data Augmentation for Graph Neural Networks


Jun 11, 2020
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver Woodford, Meng Jiang, Neil Shah


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Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors


Jun 11, 2020
Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla


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A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction


Jun 11, 2020
Yang Zhou, Tong Zhao, Meng Jiang

* 7 pages, 1 figure 

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Crossing Variational Autoencoders for Answer Retrieval


May 06, 2020
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang

* Accepted to ACL 2020 

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Boosting Factual Correctness of Abstractive Summarization


Apr 04, 2020
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

* 17 pages, 3 figures 

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Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph


Mar 26, 2020
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

* 14 pages, 2 figures 

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Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning


Mar 12, 2020
Mandana Saebi, Steven Krieg, Chuxu Zhang, Meng Jiang, Nitesh Chawla


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Improving Generalizability of Fake News Detection Methods using Propensity Score Matching


Jan 28, 2020
Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang


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Few-Shot Knowledge Graph Completion


Nov 26, 2019
Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla


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Graph Few-shot Learning via Knowledge Transfer


Oct 07, 2019
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

* Accepted by NeurIPS 2019 GRL workshop 

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MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation


Sep 15, 2019
Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Yiyu Shi, Haiyun Yuan, Meiping Huang, Jian Zhuang

* MICCAI19 

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Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements


Jun 26, 2019
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang


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PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence


Mar 21, 2018
Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi

* 17 pages, paper re-organized; 

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MetaPAD: Meta Pattern Discovery from Massive Text Corpora


Mar 14, 2017
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han

* 9 pages 

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