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Search results for pytorch graph neural networks
graph-neural-networks
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pytorch
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197 search results found
Graphml Tutorials
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63
Tutorials for Machine Learning on Graphs
Graphens
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59
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
Dcrnn_pytorch
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59
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
Simple Equivariant Gnn
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59
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Eeg Gcnn
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56
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Sushi
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56
Official PyTorch implementation of Unifying Short and Long-Term Tracking with Graph Hierarchies (CVPR 2023)
Pytorch_han
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55
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
Idgl
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55
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
Learning Tsp
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53
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
Himp Gnn
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53
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Pdn
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51
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Osdi21_ae
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50
Artifact for OSDI'21 GNNAdvisor
Proteingcn
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47
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Deepsphere Weather
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46
A spherical CNN for weather forecasting
Geometric Rna Design
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44
gRNAde: Geometric Deep Learning for RNA Design
Graph Domain Adaptaion
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43
PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
Intergcn Absa
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42
[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis
Graphood Gnnsafe
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42
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Bmvc_2019
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41
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Zero Shot Indoor Localization Release
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41
The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)
Apan
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40
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)
Stars
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37
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
Graph_neural_net
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36
Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
Acm Gnn
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36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
Bernnet
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36
PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
Gmt
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36
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Gsn
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36
Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252
Visdial Gnn
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35
PyTorch code for Reasoning Visual Dialogs with Structural and Partial Observations
Graphtrans
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35
Representing Long-Range Context for Graph Neural Networks with Global Attention
Large_scale_gcn_benchmarking
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35
This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.
Graphlime
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35
This is a Pytorch implementation of GraphLIME
Mapfe4mp
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34
Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.
Asap
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34
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Costa
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34
Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Druggen
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31
Official implementation of DrugGEN
Stablegnn
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31
Framework for autonomous learning of explainable graph neural networks
Tc Gnn_atc23
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31
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
Pre Training Via Denoising
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29
Official implementation of pre-training via denoising for TorchMD-NET
Gradientgating
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29
Gradient gating (ICLR 2023)
Mtag
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28
Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences
Qgnn
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Glam
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27
Code for "An adaptive graph learning method for automated molecular interactions and properties predictions".
Gnn4cd
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27
Supervised community detection with line graph neural networks
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)
Dgn
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26
Implementation of Directional Graph Networks in PyTorch and DGL
Ghrn
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26
[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Pytorch Tutorial
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25
PyTorch示例代码;复现GNN模型
Graphchem
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24
Graph-based machine learning for chemical property prediction
Walk Transformer
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24
From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Bgrl_pytorch
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23
Pytorch implementation of "Bootstrapped Representation Learning on Graphs"
G Nia
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23
G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
Gap
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23
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Otcoarsening
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23
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Pytorch Gnn Research
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20
Various Applications and Descriptions of GNN with Pytorch, Pytorch Geometric.
Gated Graph Transformers
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19
Transformers are Graph Neural Networks!
Crgeo
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18
Graph neural networks for autonomous driving
Digcn
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18
Implement of DiGCN, NeurIPS-2020
Graphmaker
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17
code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"
Node Select
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17
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
Mlpinit For Gnns
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17
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Deepsphere Cosmo Tf2
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17
A spherical convolutional neural network for cosmology (TFv2).
Introduction To Deep Learning And Neural Networks Course
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16
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Gad Nr
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16
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Gnn4cmr
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16
PyTorch implementation of the AAAI-21 paper "Dual Adversarial Label-aware Graph Neural Networks for Cross-modal Retrieval" and the TPAMI-22 paper "Integrating Multi-Label Contrastive Learning with Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval".
Lifelong Learning
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16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Solubility Prediction With Graph Neural Networks
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16
GNN, GCN, Molecular Solubility, RDKit, Cheminformatics
Graph2seq For Kgqg
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15
Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"
Lri
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15
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
Deeprank2
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14
An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.
Sgdl
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14
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
Gca Rom
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14
GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
Greed
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13
official repo for the NeurIPS 2022 paper "GREED: A Neural Framework for Learning Graph Distance Functions"
Mpgan
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13
The message passing GAN https://arxiv.org/abs/2106.11535 and generative adversarial particle transformer https://arxiv.org/abs/2211.10295 architectures for generating particle clouds
Rxn Ebm
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12
Energy-based modeling of chemical reactions
Cgs
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12
The official implementation of Convergent Graph Solvers (CGS)
Gripnet
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11
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
Dialogue Based Anti Fraud
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11
Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions"
Extended Simgnn
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11
A PyTorch Geometric implementation of SimGNN with some extensions.
Epignn
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10
[ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Molecule Graph Generation
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10
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
Acgcn
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10
ACGCN: Graph Convolutional Networks for Activity Cliff Prediction Between Matched Molecular Pairs (Park et al., 2022)
3d_step_classification
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10
A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding any loss of information.
Learning Paradigms For Tsp
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10
Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
Leci
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9
The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)
Log 2023 Gnns Recsys
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9
Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)
Sssnet_signed_clustering
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9
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
Pocket2drug
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9
Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.
Wsdm_gdn
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9
[WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
Coref Hgat
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8
Pytorch Implementation of Our NAACL 2021 Paper "Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network"
Single_cell_spatial_image
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8
A deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics
Pytorch Gnn Meta Attack
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8
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
Gae Dgl
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8
Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
Text Level Gnn
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8
Text Level Graph Neural Network for Text Classification
Pytorch_ngcf
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8
PyTorch Implemenation for Neural Graph Collaborative Filtering
Hc Gnn
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8
[DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717)
Ms Gcn
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7
Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)
Cpa
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7
Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)
Denoise Pretrain Ml Potential
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7
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
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