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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