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215 search results found
Gnnpapers
⭐
15,156
Must-read papers on graph neural networks (GNN)
Graphsage
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2,903
Representation learning on large graphs using stochastic graph convolutions.
Deepwalk
⭐
2,561
DeepWalk - Deep Learning for Graphs
Literaturedl4graph
⭐
2,456
A comprehensive collection of recent papers on graph deep learning
Node2vec
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2,377
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Awesome Self Supervised Gnn
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1,356
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Sg2im
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1,211
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
Graph Fraud Detection Papers
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1,148
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Awesome Fl
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1,103
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Gnn4nlp Papers
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824
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Powerful Gnns
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762
How Powerful are Graph Neural Networks?
Must Read Papers And Continuous Tracking On Graph Neural Network Gnn Progress
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699
Papers on Graph neural network(GNN)
Sr Gnn
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607
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Knowledge Graph Tutorials And Papers
⭐
599
Insightful Tutorials and Papers about Knowledge Graphs
Entity_alignment_papers
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481
Must-read papers on entity alignment published in recent years
Recommendersystems
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421
推荐系统
Graph Transformer
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408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Relationprediction
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389
Implementation of R-GCNs for Relational Link Prediction
Fastgcn
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377
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Awesome Graph Attack Papers
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315
Adversarial attacks and defenses on Graph Neural Networks.
Latex Graph Paper
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312
Make your own quadrille, graph, hex, etc paper! Uses the pgf/TikZ package for LaTeX, which should be part of any modern TeX installation.
Cogqa
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297
Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"
Gc Mc
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268
Awesome Deep Gnn
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264
Papers about developing deep Graph Neural Networks (GNNs)
Awesome Multimodal Knowledge Graph
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245
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Awesome Federated Learning On Graph And Gnn Papers
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225
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Knowledge_graph_reasoning_papers
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216
Must-read papers on knowledge graph reasoning
Pro Gnn
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213
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Awesome Gnn Recommendation
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191
Graph Neural Network
Representation Learning On Heterogeneous Graph
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178
Representation-Learning-on-Heterogeneous-Graph
Tucker
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177
TuckER: Tensor Factorization for Knowledge Graph Completion
Articlepairmatching
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175
The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions
Alga Paper
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170
A minimalistic, elegant and powerful approach to working with graphs in a functional programming language
Papergraph
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164
AI/ML citation graph with postgres + graphql
Kgat Pytorch
⭐
156
Holographic Embeddings
⭐
154
Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"
Gtad
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151
The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection
Netgan
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142
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
K Gnn
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131
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
Ppgnet
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126
Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
Bio_corex
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116
A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Person_search_gcn
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112
This repository hosts the code for our paper “Learning Context Graph for Person Search”, CVPR2019 Oral
Sat2graph
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112
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
Bionev
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111
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Graph_adversarial_attack
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110
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
Graph2vec_tf
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107
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Gnn Meta Attack
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106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Graphsim
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100
Graph similarity algorithms based on NetworkX.
Sgg
⭐
100
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
Floor Plan Lab
⭐
98
Virtual Graph Paper to Rapidly Design Floor Plans
Rgat
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96
A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
Pytorch Agnn
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94
Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
Pgexplainer
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90
Parameterized Explainer for Graph Neural Network
Awesome Traffic Prediction
⭐
78
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
Conmask
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77
ConMask model described in paper Open-world Knowledge Graph Completion.
Sub Gc
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75
Code repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.
Kg4rec
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73
Knowledge-aware recommendation papers.
Gcn Align
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72
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
Mixhop
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72
Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Ctgcn
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72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Pegbis
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71
Python implementation of "Efficient Graph-Based Image Segmentation" paper
Gtos
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70
Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"
Awesome Recommender System
⭐
69
The collection of papers about recommender system
Gaug
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65
AAAI'21: Data Augmentation for Graph Neural Networks
Bottleneck
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65
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
H Gcn
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64
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
Gntk
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63
Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
Glomo
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61
Unsupervised Learning of Transferable Relational Graphs
Wwl
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59
Wasserstein Weisfeiler-Lehman Graph Kernels
Age
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59
Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
Graph_2d_cnn
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59
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'
Ngnn
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58
[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"
Dgcnn
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57
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Blackbox Deep Graph Matching
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53
Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Efficient Ssl
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52
Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
Graph_element_networks
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51
Papergraph Ui
⭐
51
Browse the CS/AI/ML research paper graph
Winter2021_cs249_gnn
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50
Img2imggan
⭐
49
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
3d Pointcloud Denoising
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48
A paper list of 3D Point Cloud Denoising
L2p Gnn
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46
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
Research Resources
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46
A collection of sites, papers and other resources that we hope will be of use if you are beginning to look at academic research
Graph Gaussian Processes
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41
Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".
Variational Graph Auto Encoders
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41
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
Pa Graph Transformer
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41
Bmvc_2019
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41
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Rcapapers
⭐
40
Papers about Root Cause Analysis in MicroService Systems. Reference to Paper Notes: https://dreamhomes.top/
S_gd2
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40
Stress-based Graph Drawing by Stochastic Gradient Descent
Kni
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40
Knowledge-enhanced Neighborhood Interaction model for recommendation
Lpgnn
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39
Locally Private Graph Neural Networks (ACM CCS 2021)
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Hypergraph And Graph Neural Network Hgnn Gnn
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39
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)
Probabilistic Circuits
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38
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
Subgraph2vec_gensim
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36
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
Gcmc
⭐
36
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
Clusternet
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35
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
Selftask Gnn
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35
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
Coupledgnn
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35
CoupledGNN: Popularity prediction with Coupled Graph Neural Networks
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