README_application.md

graph4nlp_literature

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Content

1. Knowledge Graph/Knowledge Base: (32)
1.1 Knowledge Graph Embedding: 7	1.2 Knowledge Base Completion: 14
1.3 Knowledge Graph Alignment: 11
2. Information Extraction: (33)
2.1 Named-entity Recognition: 8	2.2 Relation Extraction: 17
2.3 Event Detection: 8
3. Sequence Labeling: (6)
3.1 Semantic Role Labeling: 6
4. Natural Language Generation: (55)
4.1 Machine Translation: 17	4.2 Summarization: 13
4.3 Code Summarization: 3	4.4 Question Generation: 3
4.5 AMR2Text: 16	4.6 SQL2Text: 3
5. Question Answering: (20)
5.1 Machine Reading Comprehension: 13	5.2 Knowledge Base Question Answering: 2
5.3 Open-domain Question Answering: 3	5.4 Community Question Answering: 2
6. Parsing: (13)
6.1 Dependency Parsing: 2	6.2 AMR Parsing: 5
6.3 Semantic Parsing: 5	6.4 Constituency parsing: 1
7. Reasoning: (9)
7.1 Natural Language Inference: 3	7.2 Math Word Problem: 5
7.3 Commonsense Reasoning: 1
8. Dialog Systems: (4)
8.1 Dialogue State Tracking: 2	8.2 Dialogue Generation: 1
8.3 Next Utterance Prediction: 1
9. Text Classification: (5)
9.1 Text Classification: 5
10. Text Matching: (2)
10.1 Text Matching: 2
11. Topic Modeling: (5)
11.1 Topic Modeling: 5
12. Sentiment Analysis: (9)
12.1 Sentiment Analysis: 9

• Knowledge Graph/Knowledge Base

  • Knowledge Graph Embedding

    • Year: 2020

      [ACL-20] ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding

    • Year: 2019

      [IJCAI-19] A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

      [AAAI-19] Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding

      [ACL-19] Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      [ACL-19] A2N: Attending to Neighbors for Knowledge Graph Inference

      [NAACL-19] Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

      [EMNLP-19] CaRe: Open Knowledge Graph Embeddings

  • Knowledge Base Completion

    • Year: 2020

      [ICLR-20] DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING

      [ICML-20] Inductive Relation Prediction by Subgraph Reasoning

      [ICML-20] Inductive Relation Prediction by Subgraph Reasoning

      [EMNLP-20] TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

      [AAAI-20] Commonsense Knowledge Base Completion with Structural and Semantic Context

      [AAAI-20] Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    • Year: 2019

      [IJCAI-19] Robust Embedding with Multi-Level Structures for Link Prediction

      [AAAI-19] End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

      [ACL-19] Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      [ACL-19] A2N: Attending to Neighbors for Knowledge Graph Inference

      [ACL-19] Multi-Channel Graph Neural Network for Entity Alignment

      [ACL-19] Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

      [EMNLP-19] Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning

    • Year: 2018

      [ESWC-18] Modeling Relational Data with Graph Convolutional Networks

  • Knowledge Graph Alignment

    • Year: 2020

      [EMNLP-20] Knowledge Graph Alignment with Entity-Pair Embedding

      [AAAI-20] Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation

      [AAAI-20] Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

    • Year: 2019

      [IJCAI-19] A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment

      [IJCAI-19] Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs

      [ACL-19] Multi-Channel Graph Neural Network for Entity Alignment

      [ACL-19] Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

      [EMNLP-19] Aligning Cross-Lingual Entities with Multi-Aspect Information

      [EMNLP-19] Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

      [EMNLP-19] Jointly Learning Entity and Relation Representations for Entity Alignment

    • Year: 2018

      [EMNLP-18] Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

• Information Extraction

  • Named-entity Recognition

    • Year: 2020

      [ACL-20] Bipartite Flat-Graph Network for Nested Named Entity Recognition

    • Year: 2019

      [ACL-19] GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

      [ACL-19] A Neural Multi-digraph Model for Chinese NER with Gazetteers

      [NAACL-19] A General Framework for Information Extraction using Dynamic Span Graphs

      [EMNLP-19] Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

      [EMNLP-19] A Lexicon-Based Graph Neural Network for Chinese NER

      [EMNLP-19] Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

      [EMNLP-19] Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

  • Relation Extraction

    • Year: 2020

      [ICML-20] Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

      [EMNLP-20] Double Graph Based Reasoning for Document-level Relation Extraction

      [ACL-20] Structural Information Preserving for Graph-to-Text Generation

      [ACL-20] Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction

    • Year: 2019

      [ACL-19] GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

      [ACL-19] Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

      [ACL-19] Attention Guided Graph Convolutional Networks for Relation Extraction

      [ACL-19] Joint Type Inference on Entities and Relations via Graph Convolutional Networks

      [ACL-19] Graph Neural Networks with Generated Parameters for Relation Extraction

      [ACL-19] Attention Guided Graph Convolutional Networks for Relation Extraction

      [NAACL-19] GraphIE: A Graph-Based Framework for Information Extraction

      [NAACL-19] A General Framework for Information Extraction using Dynamic Span Graphs

      [NAACL-19] Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

      [EMNLP-19] Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    • Year: 2018

      [EMNLP-18] Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

      [EMNLP-18] RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

      [EMNLP-18] N-ary Relation Extraction using Graph State LSTM

  • Event Detection

    • Year: 2020

      [EMNLP-20] Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

      [EMNLP-20] Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks

    • Year: 2019

      [ACL-19] Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media

      [EMNLP-19] Event Detection with Multi-Order Graph Convolution and Aggregated Attention

    • Year: 2018

      [AAAI-18] Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

      [AAAI-18] Graph Convolutional Networks with Argument-Aware Pooling for Event Detection

      [EMNLP-18] Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

    • Year: 2017

      [RANLP-17] Graph-based Event Extraction from Twitter

• Sequence Labeling

  • Semantic Role Labeling

    • Year: 2020

      [ArXiv-20] Cross-Lingual Semantic Role Labeling With Model Transfer

      [ArXiv-20] Semantic Role Labeling with Heterogeneous Syntactic Knowledge

      [EMNLP-20] Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling

      [ACL-20] Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks

    • Year: 2018

      [EMNLP-18] A Unified Syntax-aware Framework for Semantic Role Labeling

    • Year: 2017

      [EMNLP-17] Encoding Sentences with Graph Convolutional Networks

• Natural Language Generation

  • Machine Translation

    • Year: 2021

      [AAAI-21] Document Graph for Neural Machine Translation

    • Year: 2020

      [COLING-20] Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity

      [IJCAI-20] Knowledge Graphs Enhanced Neural Machine Translation

      [TACL-20] AMR-To-Text Generation with Graph Transformer

      [ACL-20] Heterogeneous Graph Transformer for Graph-to-Sequence Learning

      [ACL-20] A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

      [AAAI-20] Graph Transformer for Graph-to-Sequence Learning

    • Year: 2019

      [ACL-19] Lattice-Based Transformer Encoder for Neural Machine Translation

      [NAACL-19] Text Generation from Knowledge Graphs with Graph Transformers

      [TACL-19] Semantic neural machine translation using AMR

      [TACL-19] Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

    • Year: 2018

      [AAAI-18] Graph Based Translation Memory for Neural Machine Translation

      [NAACL-18] Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

      [ACL-18] Graph-to-Sequence Learning using Gated Graph Neural Networks

    • Year: 2017

      [EMNLP-17] Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

      [EMNLP-17] Neural Machine Translation with Source-Side Latent Graph Parsing

      [EACL-17] Context-Aware Graph Segmentation for Graph-Based Translation

  • Summarization

    • Year: 2020

      [COLING-20] Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words

      [COLING-20] Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks

      [EMNLP-20] Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

      [EMNLP-20] Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention

      [ACL-20] Discourse-Aware Neural Extractive Text Summarization

      [ACL-20] Discourse-Aware Neural Extractive Text Summarization

      [ACL-20] Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

      [ACL-20] Leveraging Graph to Improve Abstractive Multi-Document Summarization

      [ACL-20] Heterogeneous Graph Neural Networks for Extractive Document Summarization

      [AAAI-20] SemSUM: Semantic Dependency Guided Neural Abstractive Summarization

    • Year: 2018

      [COLING-18] Abstract Meaning Representation for Multi-Document Summarization

    • Year: 2017

      [ACL-17] Abstractive document summarization with a graph-based attentional neural model

      [COLING-17] Graph-based Neural Multi-Document Summarization

  • Code Summarization

    • Year: 2020

      [ArXiv-20] Improved code summarization via a graph neural network

    • Year: 2019

      [ICLR-19] Structured Neural Summarization

    • Year: 2018

      [ICLR-18] learning to represent programs with graphs

  • Question Generation

    • Year: 2020

      [COLING-20] Answer-driven Deep Question Generation based on Reinforcement Learning

      [ICLR-20] Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation

    • Year: 2019

      [WWW-19] Learning to Generate Questions by Learning What not to Generate

  • AMR2Text

    • Year: 2020

      [COLING-20] Generalized Shortest-Paths Encoders for AMR-to-Text Generation

      [IJCAI-20] Better AMR-To-Text Generation with Graph Structure Reconstruction

      [TACL-20] AMR-To-Text Generation with Graph Transformer

      [EMNLP-20] Online Back-Parsing for AMR-to-Text Generation

      [EMNLP-20] Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

      [ACL-20] Heterogeneous Graph Transformer for Graph-to-Sequence Learning

      [ACL-20] Structural Information Preserving for Graph-to-Text Generation

      [ACL-20] Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks

      [AAAI-20] Graph Transformer for Graph-to-Sequence Learning

    • Year: 2019

      [ACL-19] Modeling Graph Structure in Transformer for Better AMR-to-Text Generation

      [NAACL-19] Structural Neural Encoders for AMR-to-text Generation

      [EMNLP-19] Enhancing AMR-to-Text Generation with Dual Graph Representations

      [TACL-19] Semantic neural machine translation using AMR

      [TACL-19] Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning

    • Year: 2018

      [ACL-18] Graph-to-Sequence Learning using Gated Graph Neural Networks

      [ACL-18] A Graph-to-Sequence Model for AMR-to-Text Generation

  • SQL2Text

    • Year: 2019

      [EMNLP-19] Graph Enhanced Cross-Domain Text-to-SQL Generation

    • Year: 2018

      [EMNLP-18] SQL-to-Text Generation with Graph-to-Sequence Model

      [ArXiv-18] Graph2seq: Graph to sequence learning with attention-based neural networks

• Question Answering

  • Machine Reading Comprehension

    • Year: 2020

      [IJCAI-20] GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension

      [IJCAI-20] Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network

      [EMNLP-20] Hierarchical Graph Network for Multi-hop Question Answering

      [EMNLP-20] SRLGRN: Semantic Role Labeling Graph Reasoning Network

      [ACL-20] Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

      [ACL-20] Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks

      [ACL-20] Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

    • Year: 2019

      [ACL-19] Dynamically Fused Graph Network for Multi-hop Reasoning

      [ACL-19] Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

      [ACL-19] Cognitive Graph for Multi-Hop Reading Comprehension at Scale

      [NAACL-19] BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

      [NAACL-19] Question Answering by Reasoning Across Documents with Graph Convolutional Networks

      [EMNLP-19] NumNet: Machine Reading Comprehension with Numerical Reasoning

  • Knowledge Base Question Answering

    • Year: 2020

      [EMNLP-20] Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

    • Year: 2018

      [COLING-18] Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

  • Open-domain Question Answering

    • Year: 2020

      [EMNLP-20] Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion

    • Year: 2019

      [EMNLP-19] PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

    • Year: 2018

      [EMNLP-18] Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

  • Community Question Answering

    • Year: 2020

      [MM-20] Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching

    • Year: 2019

      [MM-19] Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching

• Parsing

  • Dependency Parsing

    • Year: 2020

      [ACL-20] Neural Reranking for Dependency Parsing: An Evaluation

    • Year: 2019

      [ACL-19] Graph-based Dependency Parsing with Graph Neural Networks

  • AMR Parsing

    • Year: 2020

      [EMNLP-20] Online Back-Parsing for AMR-to-Text Generation

      [ACL-20] AMR Parsing via Graph_x001C_Sequence Iterative Inference(to be deleted)

      [ACL-20] AMR Parsing with Latent Structural Information

    • Year: 2019

      [ACL-19] AMR Parsing as Sequence-to-Graph Transduction(to be deleted)

    • Year: 2018

      [ACL-18] AMR Parsing as Graph Prediction with Latent Alignment(to be deleted)

  • Semantic Parsing

    • Year: 2020

      [EMNLP-20] Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

      [AAAI-20] Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing

    • Year: 2019

      [ACL-19] Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

      [EMNLP-19] Global Reasoning over Database Structures for Text-to-SQL Parsing

    • Year: 2018

      [EMNLP-18] Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode

  • Constituency parsing

    • Year: 2020

      [NeurIPS-20] Strongly Incremental Constituency Parsing with Graph Neural Networks

• Reasoning

  • Natural Language Inference

    • Year: 2020

      [AAAI-20] Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks

    • Year: 2019

      [AAAI-19] Improving Natural Language Inference Using External Knowledgein the Science Questions Domain

      [EMNLP-19] KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

  • Math Word Problem

    • Year: 2020

      [ICLR-20] Mathematical Reasoning in Latent Space

      [EMNLP-20] Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem

      [ACL-20] A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving

      [ACL-20] Graph-to-Tree Learning for Solving Math Word Problems

      [ACL-20] Premise Selection in Natural Language Mathematical Texts

  • Commonsense Reasoning

    • Year: 2018

      [IJCAI-18] Commonsense Knowledge Aware Conversation Generation with Graph Attention

• Dialog Systems

  • Dialogue State Tracking

    • Year: 2020

      [AAAI-20] Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks

    • Year: 2019

      [COLING-19] Structured Dialogue Policy with Graph Neural Networks

  • Dialogue Generation

    • Year: 2019

      [IJCAI-19] GSN: A Graph-Structured Network for Multi-Party Dialogues

  • Next Utterance Prediction

    • Year: 2021

      [AAAI-21] A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training

• Text Classification

  • Text Classification

    • Year: 2020

      [ACL-20] Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks

      [AAAI-20] Tensor Graph Convolutional Networks for Text Classification

    • Year: 2019

      [AAAI-19] Graph Convolutional Networks for Text Classification

      [EMNLP-19] Text Level Graph Neural Network for Text Classification

      [EMNLP-19] Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

• Text Matching

  • Text Matching

    • Year: 2020

      [ACL-20] Neural Graph Matching Networks for Chinese Short Text Matching

      [ACL-20] Matching Article Pairs with Graphical Decomposition and Convolutions

• Topic Modeling

  • Topic Modeling

    • Year: 2020

      [KDD-20] Graph Structural-topic Neural Network

      [WWW-20] Graph Attention Topic Modeling Network

      [EMNLP-20] Neural Topic Modeling by Incorporating Document Relationship Graph

      [ACL-20] Tree-Structured Neural Topic Model

    • Year: 2018

      [EMNLP-18] GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model

• Sentiment Analysis

  • Sentiment Analysis

    • Year: 2020

      [EMNLP-20] Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

      [EMNLP-20] Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

      [EMNLP-20] Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

      [ACL-20] KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis

      [ACL-20] Aspect Sentiment Classification with Document-level Sentiment Preference Modeling

      [ACL-20] Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification

      [ACL-20] Relational Graph Attention Network for Aspect-based Sentiment Analysis

    • Year: 2019

      [EMNLP-19] Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

      [EMNLP-19] Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks