This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Aligning Cross-Lingual Entities with Multi-Aspect Information
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
Jointly Learning Entity and Relation Representations for Entity Alignment
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
Multi-Channel Graph Neural Network for Entity Alignment
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Aligning Cross-Lingual Entities with Multi-Aspect Information
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model
Jointly Learning Entity and Relation Representations for Entity Alignment
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks
Generalized Shortest-Paths Encoders for AMR-to-Text Generation
Structural Information Preserving for Graph-to-Text Generation
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Enhancing AMR-to-Text Generation with Dual Graph Representations
Online Back-Parsing for AMR-to-Text Generation
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Graph-to-Sequence Learning using Gated Graph Neural Networks
Better AMR-To-Text Generation with Graph Structure Reconstruction
Generalized Shortest-Paths Encoders for AMR-to-Text Generation
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
Structural Information Preserving for Graph-to-Text Generation
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Enhancing AMR-to-Text Generation with Dual Graph Representations
Online Back-Parsing for AMR-to-Text Generation
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Graph-to-Sequence Learning using Gated Graph Neural Networks
Better AMR-To-Text Generation with Graph Structure Reconstruction
Semantic neural machine translation using AMR
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Generalized Shortest-Paths Encoders for AMR-to-Text Generation
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
Structural Information Preserving for Graph-to-Text Generation
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Enhancing AMR-to-Text Generation with Dual Graph Representations
Online Back-Parsing for AMR-to-Text Generation
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
Graph-to-Sequence Learning using Gated Graph Neural Networks
Better AMR-To-Text Generation with Graph Structure Reconstruction
Semantic neural machine translation using AMR
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
Event Detection with Multi-Order Graph Convolution and Aggregated Attention
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
Event Detection with Multi-Order Graph Convolution and Aggregated Attention
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Commonsense Knowledge Base Completion with Structural and Semantic Context
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Commonsense Knowledge Base Completion with Structural and Semantic Context
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
A2N: Attending to Neighbors for Knowledge Graph Inference
Multi-Channel Graph Neural Network for Entity Alignment
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Robust Embedding with Multi-Level Structures for Link Prediction
DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH REASONING
SemSUM: Semantic Dependency Guided Neural Abstractive Summarization
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words
Discourse-Aware Neural Extractive Text Summarization
Discourse-Aware Neural Extractive Text Summarization
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
Abstractive document summarization with a graph-based attentional neural model
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
Discourse-Aware Neural Extractive Text Summarization
Discourse-Aware Neural Extractive Text Summarization
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network
Abstract Meaning Representation for Multi-Document Summarization
Abstractive document summarization with a graph-based attentional neural model
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Attention Guided Graph Convolutional Networks for Relation Extraction
Attention Guided Graph Convolutional Networks for Relation Extraction
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Structural Information Preserving for Graph-to-Text Generation
Attention Guided Graph Convolutional Networks for Relation Extraction
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Joint Type Inference on Entities and Relations via Graph Convolutional Networks
Graph Neural Networks with Generated Parameters for Relation Extraction
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
Double Graph Based Reasoning for Document-level Relation Extraction
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
NumNet: Machine Reading Comprehension with Numerical Reasoning
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
NumNet: Machine Reading Comprehension with Numerical Reasoning
Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph-to-Sequence Learning using Gated Graph Neural Networks
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Context-Aware Graph Segmentation for Graph-Based Translation
Lattice-Based Transformer Encoder for Neural Machine Translation
Graph Based Translation Memory for Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Neural Machine Translation with Source-Side Latent Graph Parsing
Graph-to-Sequence Learning using Gated Graph Neural Networks
Text Generation from Knowledge Graphs with Graph Transformers
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
Lattice-Based Transformer Encoder for Neural Machine Translation
Graph Based Translation Memory for Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Neural Machine Translation with Source-Side Latent Graph Parsing
Graph-to-Sequence Learning using Gated Graph Neural Networks
Text Generation from Knowledge Graphs with Graph Transformers
Semantic neural machine translation using AMR
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
Context-Aware Graph Segmentation for Graph-Based Translation