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Search results for python gnn
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97 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)
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Gnn
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1,111
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Graphneuralnetwork
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568
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Efficient Gnns
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490
Code and resources on scalable and efficient Graph Neural Networks
Ptgnn
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305
A PyTorch Graph Neural Network Library
Ggnn.pytorch
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302
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Stgcn
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290
The PyTorch version of STGCN.
Mtad Gat Pytorch
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265
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
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).
Tokengt
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209
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
Seal Ci
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201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Tsl
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176
tsl: a PyTorch library for processing spatiotemporal data.
Diffnet
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143
Graph Neural Network based Social Recommendation Model. SIGIR2019.
3dgnn_pytorch
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142
3D Graph Neural Networks for RGBD Semantic Segmentation
Gemnet_pytorch
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136
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
Lamda Ssl
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130
30 Semi-Supervised Learning Algorithms
Edmot
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122
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Gnn Lspe
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114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Gnn_for_ehr
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103
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
Coolgraph
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103
Make GNN easy to start with
Pytorch_geometric_signed_directed
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96
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Ncem
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92
Learning cell communication from spatial graphs of cells
Torchsketch
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83
Dagnet
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72
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
Bgcn
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72
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Bottleneck
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65
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
3dinfomax
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64
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Igb Datasets
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63
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.
Graphmix
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60
Code for reproducing results in GraphMix paper
Simple Equivariant Gnn
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59
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Egt_pytorch
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58
Edge-Augmented Graph Transformer
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"
Stagin
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55
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Pdn
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51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Causing
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51
Causing: CAUsal INterpretation using Graphs
L2p Gnn
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46
Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
Fairgnn
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44
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
Reggnn
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41
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Hot
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40
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
Graph_neural_net
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36
Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
Meta Fine Tuning
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36
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
Relpose Gnn
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33
[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.
Mmgnn_textvqa
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32
A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Sumgnn
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32
This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)
Recsys Tutorial
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30
Tutorials and examples of various recommender systems in industrial applications
Nebula Dgl
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30
NebulaGraph DGL(Deep Graph Library) Integration Package. (WIP)
Opentlp
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29
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
Exaqt
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28
Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"
Synthetic_coordinates
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27
Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)
Maxp_dgl_graph
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24
2021 MAXP 命题赛 任务一:基于DGL的图机器学习任务。队伍:Graph@ICT,🥉rank6。https://www
Gnn_tracking
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24
Charged particle tracking with graph neural networks
Otcoarsening
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23
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Sagod
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22
A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
Graphlet
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21
PyPi module for Graphlet AI Knowledge Graph Factory
Vqgraph
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21
[ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Nrgnn
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18
Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).
Scan
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18
[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
Conformalized Gnn
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17
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
Dgn
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16
How to fuse a population of graphs into a single one using graph neural networks?
Ggn
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16
GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
Gcnn
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16
The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning
Drl Graph Partitioning
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14
DRL models for graph partitioning and sparse matrix ordering.
Gnn Spectral Expressive Power
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14
Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
Gemnet_tf
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14
GemNet model in TensorFlow, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
Ehnn
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13
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
Dgcnn
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13
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Pyg Ogb Tricks
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13
Bags of Tricks in OGB (node classification) with GCNs.
Graphmixernetworks
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13
Official Implementation of Graph Mixer Networks
P Reg
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13
Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
Pc Gnn
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12
(WWW 2021) Source code of PC-GNN
Graphsvx
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12
Explanation method for Graph Neural Networks (GNNs)
Deep Learning Framework
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12
深度学习脚手架
Representing Programs With Graphs
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11
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Dgnn
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11
[Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective
Egt
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11
Edge-Augmented Graph Transformer
Np Fkgc
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11
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Cikm2023direc
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10
Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
Item Alignment
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10
ccks2022 task9 subtask2 商品同款识别
Protein Ligand Gnn
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10
This repository contains the code for the work on protein-ligand interaction with GNNs and XAI
Mlx Gcn
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10
MLX implementation of GCN, with benchmark on MPS, CUDA and CPU (M1 Pro, M2 Ultra, M3 Max).
Citlab Article Separation New
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10
Modules used for separating articles in (historical) newspapers and similar documents. This repository is part of the European Union's Horizon 2020 project NewsEye. For more information about the project see https://www.newseye.eu/.
Diffusion Hopping
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9
DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping
Kgcn_keras
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9
A Pure Keras Implementation of Knowledge Graph Convolution Network for Recommendation
Ignet
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8
ACM MM 2023 | Learning a Graph Neural Network with Cross Modality Interaction for Image Fusion
Text Level Gnn
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8
Text Level Graph Neural Network for Text Classification
Desco
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8
The official implementation of WSDM'24 paper <DeSCo: Towards Scalable Deep Subgraph Counting>
Text Classification
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8
CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification
Simgnn
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8
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
Gnn4lp
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7
gnn for link prediction,图神经网络用于链接预测。
Mgn
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7
MGN: Code repo, examples from the paper
Gnn Pytorch
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7
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Rgcn Pytorch
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7
Pytorch implementation of Relational GCN for node classification
Linkless Link Prediction
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7
[ICML 2023] Linkless Link Prediction via Relational Distillation
Mustang
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7
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
Mvpool
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7
Hierarchical Multi-View Graph Pooling with Structure Learning(TKDE-2021)
Rahg
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6
Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
Crysxpp
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6
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
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