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Top 25 gnn open source projects

Gnnpapers

Must-read papers on graph neural networks (GNN)

✭ 12,293

paper-list gnn

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

✭ 558

python tensorflow gnn

mtad-gat-pytorch

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).

✭ 85

python shell deep-learning time-series pytorch attention anomaly-detection graph-attention-networks graph-neural-networks 2021 gnn mtad-gat

Meta-Fine-Tuning

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

✭ 29

python shell computer-vision deep-learning transfer-learning cvpr few-shot-learning gnn cvpr2020 meta-fine-tuning meta-learning-algorithm

gemnet pytorch

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

✭ 80

python Jupyter Notebook paper pytorch graph-neural-networks gnn

Literatures-on-GNN-Acceleration

A reading list for deep graph learning acceleration.

✭ 50

acceleration deep-learning graph graph-algorithms accelerator reading-list literature graph-computing graph-convolutional-networks gcn graph-neural-networks paper-list gnn

GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

✭ 92

biomarker gans brain-connectivity geometric-deep-learning gnns network-neuroscience gnn graph-neural-network graph-fusion graph-synthesis graph-prediction brain-disorders graph-superresolution predictive-intelligence graph-integration graph-timeseries brain-gnn

VectorNet

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

✭ 88

Jupyter Notebook python multimodality trajectory-prediction gnn

PDN

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

stagin

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

✭ 34

python attention neuroimaging fmri connectome explainability neurips gnn graph-neural-network stagin neurips2021

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

✭ 165

python Jupyter Notebook shell graphs transformers attention representation-learning molecules message-passing lspe geometric-deep-learning graph-neural-networks graph-representation-learning gnn graph-deep-learning positional-encoding graph-transformer transformer-networks gnn-lspe

GCL

List of Publications in Graph Contrastive Learning

✭ 25

graph self-supervised-learning gnn contrastive-learning

gnn-re-ranking

A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

✭ 64

re-ranking image-retrieval gnn

GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks.

✭ 505

information-retrieval recommendation-system recommender-system recommendation recommendation-algorithms graph-convolutional-networks gcn graph-neural-networks graph-representation-learning gnn

BasicGNNTracking

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

✭ 36

C++Dockerfile CMake opencv auction-algorithm kalman-filter tracking-algorithm multi-target-tracker gnn

BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

✭ 129

python gcn bayesian-neural-networks graph-convolutional-network graph-learning graph-neural-networks graph-convolutional-neural-networks gnn bayesian-graph-neural-networks

dgcnn

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

✭ 21