GNN4NLP-Papers

A list of recent papers about GNN methods applied in NLP areas.

Taxonomy

Fundamental NLP Tasks

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar. ACL 2019 [pdf] [code]
A Lexicon-Based Graph Neural Network for Chinese NER. Tao Gui, Yicheng Zou and Qi Zhang. EMNLP 2019 [pdf]

Text Classification

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. Chen Zhang, Qiuchi Li and Dawei Song. EMNLP 2019 [pdf] [code]
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li. EMNLP 2019 [pdf]
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. Binxuan Huang and Kathleen M. Carley. EMNLP 2019 [pdf]
Relational Graph Attention Network for Aspect-based Sentiment Analysis. Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang. ACL 2020 [pdf]

Question Answering

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. Yu Cao, Meng Fang and Dacheng Tao. NAACL-HLT 2019. [pdf] [code]
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. Nicola De Cao, Wilker Aziz and Ivan Titov. NAACL-HLT 2019. [pdf]
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang and Jie Tang. ACL 2019 [pdf] [code]
Dynamically Fused Graph Network for Multi-hop Reasoning. Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang and Yong Yu. ACL 2019 [pdf]
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou. ACL 2019 [pdf]
DialogueGCN A Graph Convolutional Neural Network for Emotion Recognition in Conversation. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh. EMNLP 2019 [pdf]
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li and Maosong Sun. ACL 2019 [pdf] [code]
Reasoning Over Semantic-Level Graph for Fact Checking. Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang and Jian Yin. Arxiv 2019 [pdf]
Message Passing for Complex Question Answering over Knowledge Graphs. Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez. CIKM 2019 [pdf]
Knowledge-aware Textual Entailment with Graph Atention Network. Daoyuan Chen , Yaliang Li , Min Yang , Hai-Tao Zheng , Ying Shen. CIKM 2019 [pdf]
Fine-grained Fact Verification with Kernel Graph Attention Network. Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu. ACL 2020 [pdf] [code]

Information Extraction

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang and Huajun Chen. NAACL-HLT 2019. [pdf]
Attention Guided Graph Convolutional Networks for Relation Extraction. Zhijiang Guo, Yan Zhang and Wei Lu. ACL 2019 [pdf] [code]
Graph Neural Networks with Generated Parameters for Relation Extraction. Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua and Maosong Sun. ACL 2019 [pdf]
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma. ACL 2019 [pdf] [code]

Text Generation

Text Generation from Knowledge Graphs with Graph Transformers. Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata and Hannaneh Hajishirzi. NAACL-HLT 2019. [pdf] [code]
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu and Xu Sun. ACL 2019 [pdf] [code]
Enhancing AMR-to-Text Generation with Dual Graph Representations. Leonardo F. R. Ribeiro, Claire Gardent and Iryna Gurevych. EMNLP 2019 [pdf]
Heterogeneous Graph Neural Networks for Extractive Document Summarization. Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang. ACL 2020 [pdf] [code]

Knowledge Graph

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao and Christos Faloutsos. KDD 2019 [pdf]
Hashing Graph Convolution for Node Classification. Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang，Jian Yang. CIKM 2019 [pdf]

Abnormal Text Detection

Abusive Language Detection with Graph Convolutional Networks. Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis and Ekaterina Shutova. NAACL-HLT 2019. [pdf]
Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media. Chang Li and Dan Goldwasser. ACL 2019 [pdf]
Spam Review Detection with Graph Convolutional Networks. Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li. CIKM 2019 [pdf]
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum. CIKM 2019 [pdf]
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. Yi-Ju Lu, Cheng-Te Li. ACL 2020 [pdf]

Visual Question Answering

Relation-Aware Graph Attention Network for Visual Question Answering. Linjie Li, Zhe Gan, Yu Cheng and Jingjing Liu. ICCV 2019 [pdf]
Language-Conditioned Graph Networks for Relational Reasoning. Ronghang Hu, Anna Rohrbach, Trevor Darrell and Kate Saenko. ICCV 2019 [pdf] [code]
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. Daesik Kim, Seonhoon Kim and Nojun Kwak. ACL 2019 [pdf]

Theory

HetGNN: Heterogeneous Graph Neural Network. Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami and Nitesh V. Chawla. KDD 2019 [pdf]
GMNN: Graph Markov Neural Networks. Meng Qu, Yoshua Bengio and Jian Tang. ICML 2019 [pdf] [code]

According to Conference

NAACL-HLT 2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. Yu Cao, Meng Fang and Dacheng Tao. NAACL-HLT 2019. [pdf] [code]
Abusive Language Detection with Graph Convolutional Networks. Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis and Ekaterina Shutova. NAACL-HLT 2019. [pdf]
Text Generation from Knowledge Graphs with Graph Transformers. Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata and Hannaneh Hajishirzi. NAACL-HLT 2019. [pdf] [code]
Question Answering by Reasoning Across Documents with Graph Convolutional Networks. Nicola De Cao, Wilker Aziz and Ivan Titov. NAACL-HLT 2019. [pdf]
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang and Huajun Chen. NAACL-HLT 2019. [pdf]

KDD 2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao and Christos Faloutsos. KDD 2019 [pdf]
HetGNN: Heterogeneous Graph Neural Network. Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami and Nitesh V. Chawla. KDD 2019 [pdf]

ICML 2019

GMNN: Graph Markov Neural Networks. Meng Qu, Yoshua Bengio and Jian Tang. ICML 2019 [pdf] [code]

ICCV 2019

Relation-Aware Graph Attention Network for Visual Question Answering. Linjie Li, Zhe Gan, Yu Cheng and Jingjing Liu. ICCV 2019 [pdf]
Language-Conditioned Graph Networks for Relational Reasoning. Ronghang Hu, Anna Rohrbach, Trevor Darrell and Kate Saenko. ICCV 2019 [pdf] [code]

ACL 2019

Attention Guided Graph Convolutional Networks for Relation Extraction. Zhijiang Guo, Yan Zhang and Wei Lu. ACL 2019 [pdf] [code]
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li and Maosong Sun. ACL 2019 [pdf] [code]
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang and Jie Tang. ACL 2019 [pdf] [code]
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu and Xu Sun. ACL 2019 [pdf] [code]
Dynamically Fused Graph Network for Multi-hop Reasoning. Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang and Yong Yu. ACL 2019 [pdf]
Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media. Chang Li and Dan Goldwasser. ACL 2019 [pdf]
Graph Neural Networks with Generated Parameters for Relation Extraction. Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-seng Chua and Maosong Sun. ACL 2019 [pdf]
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar. ACL 2019 [pdf] [code]
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma. ACL 2019 [pdf] [code]
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou. ACL 2019 [pdf]
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension. Daesik Kim, Seonhoon Kim and Nojun Kwak. ACL 2019 [pdf]

EMNLP-IJCNLP 2019

A Lexicon-Based Graph Neural Network for Chinese NER. Tao Gui, Yicheng Zou and Qi Zhang. EMNLP 2019 [pdf]
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. Chen Zhang, Qiuchi Li and Dawei Song. EMNLP 2019 [pdf]
DialogueGCN A Graph Convolutional Neural Network for Emotion Recognition in Conversation. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh. EMNLP 2019 [pdf]
Enhancing AMR-to-Text Generation with Dual Graph Representations. Leonardo F. R. Ribeiro, Claire Gardent and Iryna Gurevych. EMNLP 2019 [pdf]
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li. EMNLP 2019 [pdf]
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. Binxuan Huang and Kathleen M. Carley. EMNLP 2019 [pdf]

CIKM 2019

Spam Review Detection with Graph Convolutional Networks. Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li. CIKM 2019 [pdf]
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. CIKM 2019 [pdf] [code]
Message Passing for Complex Question Answering over Knowledge Graphs. Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez. CIKM 2019 [pdf]
Knowledge-aware Textual Entailment with Graph Atention Network. Daoyuan Chen , Yaliang Li , Min Yang , Hai-Tao Zheng , Ying Shen. CIKM 2019 [pdf]
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum. CIKM 2019 [pdf]
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu. CIKM 2019 [pdf]
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. Fengli Xu , Jianxun Lian , Zhenyu Han , Yong Li , Yujian Xu , Xing Xie. CIKM 2019 [pdf]
Hashing Graph Convolution for Node Classification. Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang，Jian Yang. CIKM 2019 [pdf]
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet Anh Tran, Michalis Vazirgiannis. CIKM 2019 [pdf]
Multiple Rumor Source Detection with Graph Convolutional Networks. Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, Guohui Li. CIKM 2019 [pdf]

ICLR 2020

MEMORY-BASED GRAPH NETWORKS. Amir hosein Khasahmadi, Kaveh Hassani, Parsa Moradi, Leo Lee, Quaid Morris. ICLR 2020 [pdf]
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. Fan-Yun Sun, Jordan Hoffman, Vikas Verma, Jian Tang. ICLR 2020 [pdf]
The Logical Expressiveness of Graph Neural Networks. Pablo Barceló, Egor V. Kostylev, Mikael Monet, Jorge Pérez, Juan Reutter, Juan Pablo Silva. ICLR 2020 [pdf]
Contrastive Learning of Structured World Models. Thomas Kipf, Elise van der Pol, Max Welling. ICLR 2020 [pdf] [code]
Geom-GCN: Geometric Graph Convolutional Networks. Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang. ICLR 2020 [pdf]
Strategies for Pre-training Graph Neural Networks. Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, Jure Leskovec. ICLR 2020 [pdf]
Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning. Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng. ICLR 2020 [pdf]
What graph neural networks cannot learn: depth vs width. Andreas Loukas. ICLR 2020 [pdf]
LambdaNet: Probabilistic Type Inference using Graph Neural Networks. Jiayi Wei, Maruth Goyal, Greg Durrett, Isil Dillig. ICLR 2020 [pdf]
Graph Convolutional Reinforcement Learning. Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu. ICLR 2020 [pdf]
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang. ICLR 2020 [pdf]
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song. ICLR 2020 [pdf]

WWW 2020

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han. WWW 2020 [pdf]
Collective Multi-type Entity Alignment Between Knowledge Graphs. Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong and Jiawei Han. WWW 2020 [pdf]
Complex Factoid Question Answering with a Free-Text Knowledge Graph. Chen Zhao, Chenyan Xiong, Xin Qian and Jordan Boyd-Graber. WWW 2020 [pdf]

ACL 2020

Fine-grained Fact Verification with Kernel Graph Attention Network. Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu. ACL 2020 [pdf] [code]
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. Yi-Ju Lu, Cheng-Te Li. ACL 2020 [pdf]
Heterogeneous Graph Neural Networks for Extractive Document Summarization. Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang. ACL 2020 [pdf] [code]
Relational Graph Attention Network for Aspect-based Sentiment Analysis. Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang. ACL 2020 [pdf]