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Lingfei Wu committed Jun 14, 2021
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Expand Up @@ -247,14 +247,14 @@ If you found this code useful, please consider citing the following papers.

- [1] Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, and Bo Long. [**"Graph Neural Networks for Natural Language Processing: A Survey"**](https://arxiv.org/abs/2106.06090).
- [2] [**NeurIPS 2020**] Yu Chen, Lingfei Wu and Mohammed J Zaki, [**"Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings"**](https://arxiv.org/abs/2006.13009).
- [3] [ICLR 2020] Yu Chen, Lingfei Wu and Mohammed J. Zaki, [**"Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"**](https://arxiv.org/abs/1908.04942).
- [3] [**ICLR 2020**] Yu Chen, Lingfei Wu and Mohammed J. Zaki, [**"Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"**](https://arxiv.org/abs/1908.04942).
- [4] Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Michael Witbrock and Vadim Sheinin, [**"Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks"**](https://arxiv.org/abs/1804.00823).
- [5] [EMNLP 2020] Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu and Sheng Zhong, [**"Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem"**](https://www.aclweb.org/anthology/2020.acl-main.362.pdf).
- [6] [ACL 2020] Luyang Huang, Lingfei Wu and Lu Wang, [**"Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward"**](https://arxiv.org/abs/2005.01159).
- [7] [EMNLP 2018] Lingfei Wu, Ian E.H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar and Michael J. Witbrock, [**"Word Mover's Embedding: From Word2Vec to Document Embedding"**](https://arxiv.org/abs/1811.01713)
- [8][IJCAI 2020] Yu Chen, Lingfei Wu and Mohammed J Zaki, [**"GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"**](https://www.ijcai.org/Proceedings/2020/171).
- [9] [IJCAI 2020] Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao and Yueting Zhuang, [**"Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description"**](https://www.ijcai.org/Proceedings/2020/171).
- [10] [IJCAI 2020] Hanning Gao, Lingfei Wu, Po Hu and Fangli Xu, [**"RDF-to-Text Generation with Graph-augmented Structural Neural Encoders"**](https://www.ijcai.org/Proceedings/2020/419).
- [5] [**EMNLP 2020**] Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu and Sheng Zhong, [**"Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem"**](https://www.aclweb.org/anthology/2020.acl-main.362.pdf).
- [6] [**ACL 2020**] Luyang Huang, Lingfei Wu and Lu Wang, [**"Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward"**](https://arxiv.org/abs/2005.01159).
- [7] [**EMNLP 2018**] Lingfei Wu, Ian E.H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar and Michael J. Witbrock, [**"Word Mover's Embedding: From Word2Vec to Document Embedding"**](https://arxiv.org/abs/1811.01713)
- [8][**IJCAI 2020**] Yu Chen, Lingfei Wu and Mohammed J Zaki, [**"GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"**](https://www.ijcai.org/Proceedings/2020/171).
- [9] [**IJCAI 2020**] Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao and Yueting Zhuang, [**"Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description"**](https://www.ijcai.org/Proceedings/2020/171).
- [10] [**IJCAI 2020**] Hanning Gao, Lingfei Wu, Po Hu and Fangli Xu, [**"RDF-to-Text Generation with Graph-augmented Structural Neural Encoders"**](https://www.ijcai.org/Proceedings/2020/419).

```
@article{wu2021graph,
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pages = {5094--5107}
}
@article{chen2020toward,
title={Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks},
author={Chen, Yu and Wu, Lingfei and Zaki, Mohammed J},
journal={arXiv preprint arXiv:2004.06015},
year={2020}
@inproceedings{wu-etal-2018-word,
title = {Word Mover{'}s Embedding: From {W}ord2{V}ec to Document Embedding},
author = {Wu, Lingfei and
Yen, Ian En-Hsu and
Xu, Kun and
Xu, Fangli and
Balakrishnan, Avinash and
Chen, Pin-Yu and
Ravikumar, Pradeep and
Witbrock, Michael J.},
booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
pages = {4524--4534},
year = {2018},
}
@inproceedings{chen2020graphflow,
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