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Search results for network graph neural networks
graph-neural-networks
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52 search results found
Pytorch_geometric_temporal
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2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Spektral
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2,317
Graph Neural Networks with Keras and Tensorflow 2.
Awesome Self Supervised Gnn
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1,356
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Graph Fraud Detection Papers
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1,148
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Cnn_graph
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991
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Gnn4nlp Papers
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824
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Datasets
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521
A repository of pretty cool datasets that I collected for network science and machine learning research.
Graphwaveletneuralnetwork
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501
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Awesome Gcn
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377
resources for graph convolutional networks (图卷积神经网络相关资源)
Graphtransformer
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285
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Lanczosnetwork
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271
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Sgcn
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253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Graph Matching Networks
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223
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (ICML 2019).
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
Gnn_note
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158
图神经网络整理
Deepergnn
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138
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Graphrec_pytorch
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137
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
Xflow
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135
XFlow - A Python Library for Graph Flow
K Gnn
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131
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
Pynets
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111
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
Gnn Meta Attack
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106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Graph Networks
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101
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
How_attentive_are_gats
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100
Code for the paper "How Attentive are Graph Attention Networks?"
Pgexplainer
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90
Parameterized Explainer for Graph Neural Network
Lamp
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78
ECML 2019: Graph Neural Networks for Multi-Label Classification
Demo Routenet
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76
Demo of RouteNet in ACM SIGCOMM'19
Cgnn
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75
Crystal Graph Neural Networks
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
Tene
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71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Dfcn
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59
AAAI 2021-Deep Fusion Clustering Network
Readinglist
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54
Papers on Graph Analytics, Mining, and Learning
Ntds_2019
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45
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
Adjacent Attention Network
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45
Graph neural network message passing reframed as a Transformer with local attention
Bmvc_2019
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41
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Overlapping Community Detection
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40
Implementation of "Overlapping Community Detection with Graph Neural Networks"
Lpgnn
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39
Locally Private Graph Neural Networks (ACM CCS 2021)
Graph Reading Group
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38
Daily reading group on graphs at KEG
Meta Gnn
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36
Implementation of Meta-GNN in TensorFlow
Network Deconfounder Wsdm20
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35
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
Social Knowledge Graph Papers
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33
A paper list of research about social knowledge graph
Robust Gcn
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29
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
Qgnn
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Mpad
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28
Message Passing Attention Networks for Document Understanding
Gnn4cd
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27
Supervised community detection with line graph neural networks
Gnn_in_neurips_2019
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20
A comprehensive collection of GNN works in NeurIPS 2019.
Demo Net
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18
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Chromegcn
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16
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
Caps2ne
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15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Scatteringgcn
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14
Scattering GCN: overcoming oversmoothness in graph convolutional networks
Simplicial_neural_networks
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13
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
Proteinsolver
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12
Graph neural network capable of generating novel amino acid sequences that fold into proteins with predetermined topologies.
Graph Embedding Techniques
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11
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Lattice_rnn
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11
Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation
Kgcn_keras
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9
A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation
Pa Gnn
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7
Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".
Awesome Graph Learning Papers
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7
A curated list of graph learning papers, articles, tutorials, slides and projects
Graph In Recommendation Systems
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7
GNNs in Recommendation Systems
Gnn Spacetimegraphs
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6
Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets
Ptdnet
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5
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Gnn Learning And Integration
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5
Awesome GNN Learning For beginners
Skeleton Action Recognition
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5
NTU RGB+D Dataset Action Recognition with GNNs and CNNs
Jax Gcn
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5
Graph Convolutional Networks in JAX
Graph Neural Networks
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5
A deep learning library for graph data structures
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1-52 of 52 search results
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