图论文快讯|AAAI2020图相关论文合集，涉及各个方面

论文快讯

整理：AIGraph

AAAI 2020 图相关的论文很多，涵盖了图相关研究的方方面面，小编将图相关的论文整理如下，需要的童鞋们可以自取。如果你对其中的论文感兴趣，欢迎加入我们的图学习群~

1

Graph Pooling

• ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
• Hierarchical Graph Pooling with Structure Learning
• GSSNN: Graph Smoothing Splines Neural Network
• Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection

2

Oversmoothing

• Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
• Fast and Deep Graph Neural Networks
• Going Deep: Graph Convolutional Ladder-shape Networks

3

Few-Shot Learning

• Knowledge Graph Transfer Network for Few-Shot Recognition
• Few-Shot Knowledge Base Completion
• Graph Few-shot Learning via Knowledge Transfer
• Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
• Multi-Stage Self-Supervised Learning for Graph Convolutional Networks
• Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs

4

Natural Language Processing

• Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
• Tensor Graph Convolutional Networks for Text Classification
• Message Passing Attention Networks for Document Understanding
• Graph Transformer for Graph-to-Sequence Learning
• CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables

5

Commonsense Knowledge

• Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering
• Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
• Commonsense Knowledge Base Completion with Structural and Semantic Context
• Joint Commonsense and Relation Reasoning for Image and Video Captioning

6

Computer Vision

• Multi-Label Classification with Label Graph Superimposing
• General Partial Label Learning via Dual Bipartite Graph Autoencoder
• Learning Cross-modal Context Graph for Visual Grounding
• Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
• STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
• Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching

7

Scene Graphs

• SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
• Storytelling from an Image Stream Using Scene Graphs
• Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation

8

Dynamic Graphs

• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
• Dynamic Graph Representation for Partially Occluded Biometrics

9

Traffic

• GMAN: A Graph Multi-Attention Network for Traffic Prediction
• Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
• Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
• RoadTagger: Robust Road Attribute Inference with Graph Neural Networks

10

Multi-Agent Learning

• Multi-Agent Game Abstraction via Graph Attention Neural Network
• Multi-Agent Actor-Critic with Hierarchical Graph Attention Network

11

Miscellaneous

• GraLSP: Graph Neural Networks with Local Structural Patterns
• Independence Promoted Graph Disentangled Networks
• An Attention-based Graph Neural Network for Heterogeneous Structural Learning
• Effective Decoding in Graph Auto-Encoder using Triadic Closure
• Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
• A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
• Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
• Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
• Unsupervised Attributed Multiplex Network Embedding
• Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Druglike Molecules
• Multi-Component Graph Convolutional Collaborative Filtering
• Memory Augmented Graph Neural Networks for Sequential Recommendation
• Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
• A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
• Graph Representations for Higher-Order Logic and Theorem Proving
• Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
• Neural Graph Embedding for Neural Architecture Search
• Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
•  more
• Co‐GCN for Multi‐View Semi‐Supervised Learning
• Hybrid Graph Neural Networks for Crowd Counting
• Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi‐Supervised Learning
• Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks
• Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN
• Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding
• Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition
• Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning
• Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network
• Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
• Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
• GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks.
• Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks
• Location-aware Graph Convolutional Networks for Video Question Answering
• Reasoning with Heterogeneous Graph Alignment for Video Question Answering
• Hypergraph Label Propagation Network
• Learning Signed Network Embedding via Graph Attention
• Cut-Based Graph Learning networks to Discover Compositional Structure of Sequential Video Data
• Motif-matching based Subgraph-level Attentional Convolution Network for Graph Classification
• Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
• Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks
• Multi-label Patent Categorization with Non-local Attention-based Graph Convolutional Network
• Zero-shot Sketch-based Image Retrieval via Graph Convolution Network
• Spatio-Temporal Graph Structure Learning for Traffic Forecasting
• Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
• Graph Representation Learning via Ladder Gamma Variational Autoencoders
• Graph Attention Based Proposal 3D ConvNets for Action Detection
• End-to-End Argumentation Knowledge Graph Construction
• DGCN: Dynamic Graph Convolutional Network for Efficient Multi-Person Pose Estimation
• Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
• Multi-task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
• Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
• Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
• A Multi-Channel Neural Graphical Event Model with Negative Evidence
• Graph-based Transformer with Cross-candidate Verification for Semantic Parsing
• Relation Extraction Exploiting Full Dependency Forests
• Attribute Propagation Network for Graph Zero-shot Learning
• Temporal Network Embedding with High‐Order Nonlinear Information
• Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
• CGD: Multi-view Clustering via Cross-view Graph Diffusion
• MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs
• Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification
• Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding
• Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation
• Dual Relation Semi‐supervised Multi-label Learning
• A Multi-Scale Approach for Graph Link Prediction
• Knowledge-Graph Augmented Word Representations For Named Entity Recognition
• Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
• Label Error Correction and Generation Through Label Relationships
• End-to-End Argumentation Knowledge Graph Construction
• DGE: Deep Generative Network Embedding Based on Commonality and Individuality
• A Knowledge-Aware Attentional Reasoning Network for Recommendation
• Structure Learning for Headline Generation
• SemSUM: Semantic Dependency Guided Neural Abstractive Summarization
• Multi‐view Clustering in Latent Embedding Space
• Multi‐View Spectral Clustering with Optimal Neighborhood Laplacian Matrix
• Multi‐View Partial Multi‐label Learning with Graph‐based Disambiguation
• Semi‐Supervised Streaming Learning with Emerging New Labels
• ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
• Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
• When Radiology Report Generation meets Knowledge Graph

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