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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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Self-supervised Smoothing Graph Neural Networks


Sep 02, 2020
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang

* 11 pages, 2 figures 

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Addressing Class-Imbalance Problem in Personalized Ranking


May 19, 2020
Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, XIao Bai, Xiangliang Zhang

* Preprint 

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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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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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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data


Nov 20, 2018
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla


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