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Constructing Contrastive samples via Summarization for Text Classification with limited annotations


Apr 11, 2021
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji


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Persistence Homology for Link Prediction: An Interactive View


Feb 20, 2021
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen


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Wasserstein diffusion on graphs with missing attributes


Feb 06, 2021
Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang


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BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network


Jan 14, 2021
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang


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GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks


Dec 03, 2020
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

* 14 pages 

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Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing


Oct 25, 2020
Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji


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Deep Graph Matching and Searching for Semantic Code Retrieval


Oct 24, 2020
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

* 21 pages 

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Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning


Oct 05, 2020
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji

* Long Paper in EMNLP 2020 

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Hierarchical Graph Matching Networks for Deep Graph Similarity Learning


Jul 08, 2020
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

* 17 pages 

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CHEER: Rich Model Helps Poor Model via Knowledge Infusion


May 21, 2020
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun

* Published in TKDE 

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Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning


May 21, 2020
Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng


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Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport


Dec 24, 2019
Tengfei Ma, Jie Chen

* Code is available at https://github.com/matenure/OTCoarsening 

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GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks


Oct 08, 2019
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun


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DeepDrawing: A Deep Learning Approach to Graph Drawing


Jul 27, 2019
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

* 11 pages 

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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals


Jun 06, 2019
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

* Accepted to IJCAI 2019 

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Pre-training of Graph Augmented Transformers for Medication Recommendation


Jun 02, 2019
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

* IJCAI2019 

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IPC: A Benchmark Data Set for Learning with Graph-Structured Data


May 15, 2019
Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz

* ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Data. The data set is accessible from https://github.com/IBM/IPC-graph-data 

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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs


Feb 26, 2019
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leisersen


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Reaching Data Confidentiality and Model Accountability on the CalTrain


Dec 07, 2018
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy


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Scalable Graph Learning for Anti-Money Laundering: A First Look


Nov 30, 2018
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl

* NeurIPS 2018 Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, Montreal, Canada 

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Adaptive Planner Scheduling with Graph Neural Networks


Nov 03, 2018
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

* Data set is released at https://github.com/IBM/IPC-graph-data 

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Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders


Sep 19, 2018
Tengfei Ma, Jie Chen, Cao Xiao

* NIPS 2018 

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AWE: Asymmetric Word Embedding for Textual Entailment


Sep 12, 2018
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun


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RDPD: Rich Data Helps Poor Data via Imitation


Sep 07, 2018
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun


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GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination


Sep 06, 2018
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun


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Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders


Apr 28, 2018
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

* IJCAI 2018 

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FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling


Jan 30, 2018
Jie Chen, Tengfei Ma, Cao Xiao

* ICLR 2018 

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