新智元推荐
来源:专知
本文整理了近期研究火热的“图”神经网络相关资源,包括节点的表示学习、知识图谱编码、图神经网络、图神经网络的应用、图生成、图的可视化、图表示学习的系统等。
目录
Github链接:
https://github.com/DeepGraphLearning/LiteratureDL4Graph
Node Representation Learning
经典论文:
DeepWalk: Online Learning of Social Representations
KDD 2014
Node classification, Random walk, Skip-gram
LINE: Large-scale Information Network Embedding
WWW 2015
First-order, Second-order, Node classification
GraRep: Learning Graph Representations with Global Structural Information
CIKM 2015
High-order, SVD
node2vec: Scalable Feature Learning for Networks
KDD 2016
Breadth-first Search, Depth-first Search, Node Classification, Link Prediction
近期论文:
arXiv 1611
Variational Graph Auto-Encoders
AAAI 2017
Scalable Graph Embedding for Asymmetric Proximity
IJCAI 2017
Fast Network Embedding Enhancement via High Order Proximity Approximation
KDD 2017
struc2vec: Learning Node Representations from Structural Identity
NIPS 2017
Poincaré Embeddings for Learning Hierarchical Representations
WWW 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
WSDM 2018
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
KDD 2018
Learning Structural Node Embeddings via Diffusion Wavelets
AAAI 2018
Adversarial Network Embedding
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
WSDM 2019
A General View for Network Embedding as Matrix Factorization
ICLR 2019
Deep Graph Infomax
WWW 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Adversarial Training Methods for Network Embedding
1.2 Node Representation Learning in Heterogeneous Graphs
WSDM 2014
Learning Latent Representations of Nodes for Classifying in Heterogeneous Social Networks
Jian Tang, Meng Qu, Qiaozhu Mei
KDD 2015
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Heterogeneous Network Embedding via Deep Architectures
AAAI 2015
Network Representation Learning with Rich Text Information
IJCAI 2016
Max-Margin DeepWalk: Discriminative Learning of Network Representation
KDD 2017
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
arXiv 2016
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
CIKM 2017
HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Multi-view Clustering with Graph Embedding for Connectome Analysis
Attributed Signed Network Embedding
ACL 2017
CANE: Context-Aware Network Embedding for Relation Modeling
KDD 2018
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
SIGIR 2018
BiNE: Bipartite Network Embedding
AAAI 2018
StarSpace: Embed All The Things
Generative Adversarial Network based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation
ANRL: Attributed Network Representation Learning via Deep Neural Networks
WSDM 2018
Exploring Expert Cognition for Attributed Network Embedding
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Multidimensional Network Embedding with Hierarchical Structures
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning
IJCAI 2018
Efficient Attributed Network Embedding via Recursive Randomized Hashing
Deep Attributed Network Embedding
WWW 2018
Co-Regularized Deep Multi-Network Embedding
ICDM 2018
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
WWW 2018
SIDE: Representation Learning in Signed Directed Networks
1.3 Node Representation Learning in Dynamic Graphs
ICML 2017
Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
ICLR 2017 Workshop
Dyngem: Deep embedding method for dynamic graphs
CIKM 2017
Attributed network embedding for learning in a dynamic environment
AAAI 2018
Dynamic Network Embedding by Modeling Triadic Closure Process
DepthLGP: Learning Embeddings of Out-of-Sample Nodes in Dynamic Networks
TIMERS: Error-Bounded SVD Restart on Dynamic Networks
KDD 2018
Dynamic Embeddings for User Profiling in Twitter
IJCAI 2018
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
ICLR 2019
DyRep: Learning Representations over Dynamic Graphs
Knowledge Graph Embedding
NIPS 2013
Translating Embeddings for Modeling Multi-relational Data
AAAI 2014
Knowledge Graph Embedding by Translating on Hyperplanes
AAAI 2015
Learning Entity and Relation Embeddings for Knowledge Graph Completion
ACL 2015
Knowledge Graph Embedding via Dynamic Mapping Matrix
EMNLP 2015
Modeling Relation Paths for Representation Learning of Knowledge Bases
ICLR 2015
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
AAAI 2016
Holographic Embeddings of Knowledge Graphs
ICML 2016
Complex Embeddings for Simple Link Prediction
arXiv 2017.03
Modeling Relational Data with Graph Convolutional Networks
arXiv 2017.10
Fast Linear Model for Knowledge Graph Embeddings
AAAI 2018
Convolutional 2D Knowledge Graph Embeddings
Knowledge Graph Embedding With Iterative Guidance From Soft Rules
NAACL 2018
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
ACL 2018
Improving Knowledge Graph Embedding Using Simple Constraints
NeurIPS 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
WWW 2019
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
ICLR 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
ACL 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Node Representation Learning
NIPS 2013
Translating Embeddings for Modeling Multi-relational Data
AAAI 2014
Knowledge Graph Embedding by Translating on Hyperplanes
AAAI 2015
Learning Entity and Relation Embeddings for Knowledge Graph Completion
ACL 2015
Knowledge Graph Embedding via Dynamic Mapping Matrix
EMNLP 2015
Modeling Relation Paths for Representation Learning of Knowledge Bases
ICLR 2015
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
AAAI 2016
Holographic Embeddings of Knowledge Graphs
ICML 2016
Complex Embeddings for Simple Link Prediction
arXiv 2017.03
Modeling Relational Data with Graph Convolutional Networks
arXiv 2017.10
Fast Linear Model for Knowledge Graph Embeddings
AAAI 2018
Convolutional 2D Knowledge Graph Embeddings
Knowledge Graph Embedding With Iterative Guidance From Soft Rules
NAACL 2018
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
ACL 2018
Improving Knowledge Graph Embedding Using Simple Constraints
NeurIPS 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
WWW 2019
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
ICLR 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
ACL 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Graph Neural Networks
ICML 2016
Revisiting Semi-supervised Learning with Graph Embeddings
ICLR 2017
Semi-Supervised Classification with Graph Convolutional Networks
ICML 2017
Neural Message Passing for Quantum Chemistry
IJCAI 2017
Motif-Aware Graph Embeddings
NIPS 2017
Learning Graph Representations with Embedding Propagation
Inductive Representation Learning on Large Graphs
ICLR 2018
Graph Attention Networks
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
ICML 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Stochastic Training of Graph Convolutional Networks with Variance Reduction
KDD 2018
Large-Scale Learnable Graph Convolutional Networks
NeurIPS 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Hierarchical Graph Representation Learning with Differentiable Pooling
Bayesian Semi-supervised Learning with Graph Gaussian Processes
arXiv 2018.11
Pitfalls of Graph Neural Network Evaluation
WWW 2019
Heterogeneous Graph Attention Network
ICLR 2019
How Powerful are Graph Neural Networks?
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Graph Wavelet Neural Network
Supervised Community Detection with Line Graph Neural Networks
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Invariant and Equivariant Graph Networks
Capsule Graph Neural Network
ICML 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Graph U-Nets
Disentangled Graph Convolutional Networks
GMNN: Graph Markov Neural Networks
Simplifying Graph Convolutional Networks
Position-aware Graph Neural Networks
Self-Attention Graph Pooling
Applications of Graph Neural Networks
4.1 Natural Language Processing
EMNLP 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
CoNLL 2017
Graph-based Neural Multi-Document Summarization
ICLR 2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
ICLR 2018
A Structured Self-attentive Sentence Embedding
COLING 2018
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
NAACL 2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks
EMNLP 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
ACL 2018
A Graph-to-Sequence Model for AMR-to-Text Generation
Graph-to-Sequence Learning using Gated Graph Neural Networks
AAAI 2019
Graph Convolutional Networks for Text Classification
Multi-task Learning over Graph Structures
ICLR 2019.
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Structured Neural Summarization
NAACL 2019
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Single Document Summarization as Tree Induction
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
ACL 2019
Graph Neural Networks with Generated Parameters for Relation Extraction
Dynamically Fused Graph Network for Multi-hop Reasoning
Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media
Attention Guided Graph Convolutional Networks for Relation Extraction
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Matching Article Pairs with Graphical Decomposition and Convolutions
Embedding Imputation with Grounded Language Information
WWW 2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
4.2 Computer Vision
ICCV 2017
3D Graph Neural Networks for RGBD Semantic Segmentation
Situation Recognition With Graph Neural Networks
Graph-Based Classification of Omnidirectional Images
AAAI 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
CVPR 2018
Image Generation from Scene Graphs
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Iterative Visual Reasoning Beyond Convolutions
Surface Networks
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Learning to Act Properly: Predicting and Explaining Affordances From Images
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Deformable Shape Completion With Graph Convolutional Autoencoders
ECCV 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
Learning Human-Object Interactions by Graph Parsing Neural Networks
Generating 3D Faces using Convolutional Mesh Autoencoders
Neural Graph Matching Networks for Fewshot 3D Action Recognition
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network
Graph R-CNN for Scene Graph Generation
Exploring Visual Relationship for Image Captioning
NeurIPS 2018
Beyond Grids: Learning Graph Representations for Visual Recognition
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
LinkNet: Relational Embedding for Scene Graph
Flexible Neural Representation for Physics Prediction
ICLR 2019
Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
CVPR 2019
Graph-Based Global Reasoning Networks
Deep Graph Laplacian Regularization for Robust Denoising of Real Images
Learning Context Graph for Person Search
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Masked Graph Attention Network for Person Re-Identification
Learning to Cluster Faces on an Affinity Graph
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
Adaptively Connected Neural Networks
4.3 Recommender Systems
KDD 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
AAAI 2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
WSDM 2019
Session-based Social Recommendation via Dynamic Graph Attention Networks
WWW 2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Graph Neural Networks for Social Recommendation
AAAI 2019
Session-based Recommendation with Graph Neural Networks
SIGIR 2019
A Neural Influence Diffusion Model for Social Recommendation
Neural Graph Collaborative Filtering
IJCAI 2019
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks
4.4 Link Prediction
NeurIPS 2018
Link Prediction Based on Graph Neural Networks
AAAI 2018
Link Prediction via Subgraph Embedding-Based Convex Matrix Completion
KDD 2018 Workshop
Graph Convolutional Matrix Completion
4.5 Influence Prediction
KDD 2018
DeepInf: Social Influence Prediction with Deep Learning
KDD 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
4.6 Neural Architecture Search
ICLR 2019
Graph HyperNetworks for Neural Architecture Search
4.7 Reinforcement Learning
AAAI 2018
Action Schema Networks: Generalised Policies with Deep Learning
ICLR 2018
NerveNet: Learning Structured Policy with Graph Neural Networks
ICML 2018
Graph Networks as Learnable Physics Engines for Inference and Control
Learning Policy Representations in Multiagent Systems
NeurIPS 2018
Relational recurrent neural networks
Transfer of Deep Reactive Policies for MDP Planning
ICLR 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
4.8 Combinatorial Optimization
NeurIPS 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Reinforcement Learning for Solving the Vehicle Routing Problem
4.9 Adversarial Attack
ICML 2018
Adversarial Attack on Graph Structured Data
KDD 2018
Adversarial Attacks on Neural Networks for Graph Data
ICLR 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
4.10 Meta Learning
ICML 2018
Learning Steady-States of Iterative Algorithms over Graphs
4.11 Structure Learning
ICLR 2018
Few-Shot Learning with Graph Neural Networks
ICML 2018
Neural Relational Inference for Interacting Systems
arXiv 19
Brain Signal Classification via Learning Connectivity Structure
A Flexible Generative Framework for Graph-based Semi-supervised Learning
Joint embedding of structure and features via graph convolutional networks
Variational Spectral Graph Convolutional Networks
ICLR 2019
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
ICML 2019 Workshop
Graph Learning Network: A Structure Learning Algorithm
ICML 2019
Learning Discrete Structures for Graph Neural Networks
Graphite: Iterative Generative Modeling of Graphs
4.12 Bioinformatics
NeurIPS 2017
Protein Interface Prediction using Graph Convolutional Networks
Bioinformatics 2018
Modeling polypharmacy side effects with graph convolutional networks
NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions
4.13 Theorem Proving
NeurIPS 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Graph Generation
ICML 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
NetGAN: Generating Graphs via Random Walks
Junction Tree Variational Autoencoder for Molecular Graph Generation
arXiv 1805
MolGAN: An implicit generative model for small molecular graphs
NeurIPS 2018
Generative Modeling for Protein Structures
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Constrained Graph Variational Autoencoders for Molecule Design
ICLR 2019
Learning Multimodal Graph-to-Graph Translation for Molecule Optimization
DAG-GNN: DAG Structure Learning with Graph Neural Networks
AISTATS 2019
Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation
Graph Layout and High-dimensional Data Visualization
JMLR 2008
Visualizing Data using t-SNE
ML 2012
Visualizing non-metric similarities in multiple maps
WWW 2016
Visualizing Large-scale and High-dimensional Data
Graph Representation Learning Systems
WWW 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
SysML 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
VLDB 2019
AliGraph: A Comprehensive Graph Neural Network Platform
DGL Team
Deep Graph Library
Alimama Engineering Platform Team, Alimama Search Advertising Algorithm Team
Euler
本文经授权转载自微信公众号 “专知”(ID:Quan_Zhuanzhi)
Github地址:
https://github.com/DeepGraphLearning/LiteratureDL4Graph