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A Simple Temporal Information Matching Mechanism for Entity Alignment Between Temporal Knowledge Graphs


Sep 20, 2022
Li Cai, Xin Mao, Meirong Ma, Hao Yuan, Jianchao Zhu, Man Lan

* Accepted by COLING 2022 

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FlowX: Towards Explainable Graph Neural Networks via Message Flows


Jun 26, 2022
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji


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A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation


Oct 14, 2021
Shen Liu, Meirong Ma, Hao Yuan, Jianchao Zhu, Yuanbin Wu, Man Lan

* NLPCC 2021 

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Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks


Jun 16, 2021
Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji

* One of the winners of 2021 KDD Cup on OGB Large-Scale Challenge 

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research


Mar 23, 2021
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji


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On Explainability of Graph Neural Networks via Subgraph Explorations


Feb 09, 2021
Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji


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Node2Seq: Towards Trainable Convolutions in Graph Neural Networks


Jan 06, 2021
Hao Yuan, Shuiwang Ji


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Explainability in Graph Neural Networks: A Taxonomic Survey


Dec 31, 2020
Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji


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Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping


Nov 19, 2020
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji


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Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents


Oct 21, 2020
Mohammad Kachuee, Hao Yuan, Young-Bum Kim, Sungjin Lee


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