↑公众号关注 “Graph-AI”专注于 图机器学习
IJCAI2020 图相关论文集
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IJCAI(International Joint Conference on Artificial Intelligence,国际人工智能联合会议),是人工智能领域中最主要的学术会议之一,是CCF A类会议。
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本文将该会议与图相关的文章进行了整理,IJCAI接受的论文分为主赛道和特别赛道,都进行了大致的分类:计算机视觉、数据挖掘等。但因为本文是关注图方面的,所以按照图的种类来进行筛选。
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Main track
图卷积网络
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
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
Community-Centric Graph Convolutional Network for Unsupervised Community Detection
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
图注意力模型
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
时空图模型
- GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
图到序列学习
- Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
图生成模型
- Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
图编码器
- RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
图对抗模型
- Rumor Detection on Social Media with Graph Structured Adversarial Learning
图特征学习
- Exploiting Mutual Information for Substructure-aware Graph Representation Learning
知识图谱
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
Knowledge Hypergraphs: Prediction Beyond Binary Relations
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
Knowledge Graphs Enhanced Neural Machine Translation
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
AMR
- Better AMR-To-Text Generation with Graph Structure Reconstruction
超图
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
GNN
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
Multi-Channel Graph Neural Networks
Coloring Graph Neural Networks for Node Disambiguation
Smart Contract Vulnerability Detection using Graph Neural Network
扩展
分子
- Communicative Representation Learning on Attributed Molecular Graphs
交互推理
- A Graph-based Interactive Reasoning for Human-Object Interaction Detection
图相似模型
- GSM: Graph Similarity Model for Multi-Object Tracking
多图融合
- Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
语义图
- Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
图半监督模型
- Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
二分图模型
- Self-paced Consensus Clustering with Bipartite Graph
事件图
- Enhancing Dialog Coherence with Event Graph Grounded Content Planning
其他
Subgraph Isomorphism Meets Cutting Planes: Solving With Certified Solutions
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
Semi-supervised Clustering via Pairwise Constrained Optimal Graph
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
The Graph-based Mutual Attentive Network for Automatic Diagnosis
State Variable Effects in Graphical Event Models
Special Track
图对抗模型
- Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
图特征学习
- 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
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