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AAAI2020 图相关论文集

2020 年 7 月 15 日 图与推荐

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AAAI2020 图相关论文集

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AAAI（the Association for the Advance of Artificial Intelligence），美国人工智能协会主办的会议是人工智能顶级学术会议，是CCF A类会议。

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全部收录论文列表：https://aaai.org/Conferences/AAAI-20/wp-content/uploads/2020/01/AAAI-20-Accepted-Paper-List.pdf

Main Technical Track

图卷积网络

Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
Zero-Shot Sketch-based Image Retrieval via Graph Convolution Network
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
Going Deep: Graph Convolutional Ladder-Shape Networks
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Location-aware Graph Convolutional Networks for Video Question Answering
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
Tensor Graph Convolutional Networks for Text Classification
Multi-label Patent Categorization with Non-local Attention-based Graph Convolutional Network
Multi-task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
Multi-Component Graph Convolutional Collaborative Filtering
Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks

动态图

Dynamic Graph Representation for Occlusion Handling in Biometrics
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

图匹配

Clustering-aware Multiple Graph Matching via Decayed Pairwise Matching Composition
Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching

图注意力模型

Graph Attention Based Proposal 3D ConvNets for Action Detection
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Multi-Agent Game Abstraction via Graph Attention Neural Network
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Learning Signed Network Embedding via Graph Attention
Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network
Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks
Graph-based Transformer with Cross-candidate Verification for Semantic Parsing

知识图谱

Knowledge-Graph Augmented Word Representations For Named Entity Recognition
Few-Shot Knowledge Graph Completion
Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation
Reasoning on Knowledge Graphs with Debate Dynamics
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
When Radiology Report Generation meets Knowledge Graph
Learning Triple Embeddings from Knowledge Graphs
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Knowledge Graph Transfer Network for Few-Shot Recognition
K-BERT: Enabling Language Representation With Knowledge Graph
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
End-to-End Argumentation Knowledge Graph Construction
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Diachronic Embedding for Temporal Knowledge Graph Completion

图链路预测

A Multi-Scale Approach for Graph Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Contextual Parameter Generation for Knowledge Graph Link Prediction

图编码器

General Partial Label Learning via Dual Bipartite Graph Autoencoder
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding
Effective Decoding in Graph Auto-Encoder using Triadic Closure
A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction

概率图

Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
Stochastic Online Learning with Probabilistic Graph Feedback
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation

图生成模型

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

图对抗

A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

异构图

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
Reasoning with Heterogeneous Graph Alignment for Video Question Answering

图聚类

Gromov-Wasserstein Factorization Models for Graph Clustering

图分类

Motif-matching based Subgraph-level Attentional Convolution Network for Graph Classification
Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection

图表征学习

Graph Representation Learning via Ladder Gamma Variational Autoencoders
Graph Representations for Higher-Order Logic and Theorem Proving
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Exponential Family Graph Embeddings

超图

Hypergraph Label Propagation Network
The Impact of Selfishness in Hypergraph Hedonic Games

时空图

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Spatio-Temporal Graph Structure Learning for Traffic Forecasting
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

GNN

Multi-Label Classification with Label Graph Superimposing
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Hybrid Graph Neural Networks for Crowd Counting
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Fast and Deep Graph Neural Networks
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
GraLSP: Graph Neural Networks with Local Structural Patterns
CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables

图到序列学习

Graph Transformer for Graph-to-Sequence Learning

扩展

商业

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Mode

脑解码

Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data

半监督学习

Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning

图搜索

Incremental Symmetry Breaking Constraints for Graph Search Problems

Graph R-CNN

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN

Graph LSTM

Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding

Zero-shot learning

Attribute Propagation Network for Graph Zero-shot Learning
Graph Few-shot Learning via Knowledge Transfer

Cross-model

Learning Cross-modal Context Graph Networks for Visual Grounding

多标签分类

Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Multi-View Partial Multi-label Learning with Graph-based Disambiguation

子空间聚类

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering

网络结构搜索

Neural Graph Embedding for Neural Architecture Search

Scene Graphs

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Storytelling from an Image Stream Using Scene Graphs

时间-图

Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Optimizing Reachability Sets in Temporal Graphs by Delaying

可解释性

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Druglike Molecules

其他

Reduction and Local Search for Weighted Graph Coloring Problem
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Instance-Adaptive Graph for EEG Emotion Recognition
Learning to Match on Graph for Fashion Compatibility Modeling
All-Pay Bidding Games on Graphs
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Understanding and Improving Proximity Graph based Maximum Inner Product Search
Random Intersection Graphs and Missing Data
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs
Swap Stability in Schelling Games on Graphs
Unified Graph and Low-rank Tensor Learning for Multi-view Clustering
Beyond Trees: Analysis and Convergence of Belief Propagation in Graphs with Multiple Cycles
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs
CGD: Multi-view Clustering via Cross-view Graph Diffusion
Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification
GSSNN: Graph Smoothing Splines Neural Networks
Proximity Preserving Binary Code Using Signed Graph-Cut
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Independence Promoted Graph Disentangled Networks
A Learning based Branch and Bound for Maximum Common Subgraph related Problems
Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction
Cut-Based Graph Learning networks to Discover Compositional Structure of Sequential Video Data
Error-Correcting and Verifiable Parallel Inference in Graphical Models
The Complexity of Computing Maximin Share Allocations on Graphs
TellTail: Fast Scoring and Detection of Dense Subgraphs
Control Flow Graph Embedding based on Multi-Instance Decomposition for Bug Localization