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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