IJCAI（International Joint Conference on Artificial Intelligence，國際人工智慧聯合會議），是人工智慧領域中最主要的學術會議之一，是CCF A類會議。我將該會議與圖相關的文章進行了整理，IJCAI接受的論文分為主賽道和特別賽道，都進行了大致的分類：計算機視覺、資料探勘等。
一、Main track
計算機視覺
A Graph-based Interactive Reasoning for Human-Object Interaction Detection
GSM： Graph Similarity Model for Multi-Object Tracking
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
Learning from the Scene and Borrowing from the Rich： Tackling the Long Tail in Scene Graph Generation
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
Set and Rebase： Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
Subgraph Isomorphism Meets Cutting Planes： Solving With Certified Solutions
資料探勘
Bilinear Graph Neural Network with Neighbor Interactions
GoGNN： Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Graph Neural Architecture Search
GraphFlow： Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
GraphSleepNet： Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
MR-GCN： Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
Multi-Channel Graph Neural Networks
Rumor Detection on Social Media with Graph Structured Adversarial Learning
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
知識表示與推理
Enriching Documents with Compact， Representative， Relevant Knowledge Graphs
Reasoning Like Human： Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
機器學習
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
BERT-INT：A BERT-based Interaction Model For Knowledge Graph Alignment
Coloring Graph Neural Networks for Node Disambiguation
Communicative Representation Learning on Attributed Molecular Graphs
KGNN： Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
Knowledge Hypergraphs： Prediction Beyond Binary Relations
LSGCN： Long Short-Term Traffic Prediction with Graph Convolutional Networks
Multi-Class Imbalanced Graph Convolutional Network Learning
Multi-View Attribute Graph Convolution Networks for Clustering
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Self-paced Consensus Clustering with Bipartite Graph
Semi-supervised Clustering via Pairwise Constrained Optimal Graph
Smart Contract Vulnerability Detection using Graph Neural Network
TransRHS： A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
多學科主題與應用
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
Efficient Community Search over Large Directed Graph： An Augmented Index-based Approach
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
The Graph-based Mutual Attentive Network for Automatic Diagnosis
自然語言處理
Better AMR-To-Text Generation with Graph Structure Reconstruction
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
Knowledge Graphs Enhanced Neural Machine Translation
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
TransOMCS： From Linguistic Graphs to Commonsense Knowledge
Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
人工智慧的不確定性
State Variable Effects in Graphical Event Models
二、Special Track
計算可持續與人類福祉
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Multi-View Joint Graph Representation Learning for Urban Region Embedding
金融科技
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
全部已接受論文列表：http：//static。ijcai。org/2020-accepted_papers。html
