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Top 99 graph-neural-networks open source projects

SuperGAT
[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Graph-Embeddding
Reimplementation of Graph Embedding methods by Pytorch.
GAug
AAAI'21: Data Augmentation for Graph Neural Networks
SiGAT
source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
pyg autoscale
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Entity-Graph-VLN
Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation
ASAP
AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
robust-gcn
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
visual-compatibility
Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
AC-VRNN
PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"
SimP-GCN
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
DCGCN
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
SIAN
Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"
kaggle-champs
Code for the CHAMPS Predicting Molecular Properties Kaggle competition
GalaXC
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
SelfGNN
A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
ntds 2019
Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
grb
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
RioGNN
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
3DInfomax
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
LR-GCCF
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
zero-shot-indoor-localization-release
The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)
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