There are 2 repositories under gnns topic.
List of molecular design using Generative AI and Deep Learning
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
3D Graph Neural Networks for RGBD Semantic Segmentation
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
Awesome De novo drugs design papers
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
A Survey of Learning from Graphs with Heterophily
GNNs in Recommendation Systems
Edge-Augmented Graph Transformer
List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
[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.
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.
Bags of Tricks in OGB (node classification) with GCNs.
This repository contains the code for the work on protein-ligand interaction with GNNs and XAI
PyPi module for Graphlet AI Knowledge Graph Factory
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
graph neural networks, information theory, AI for Sciences
Official Implementation of Graph Mixer Networks
A Note On Over-Smoothing for Graph Neural Network
Implementation for ReFactor GNNs
Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging (PyTorch implementation)
Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clrs package, prioritizing scalability and the utilization of sparse representations. It provides pytorch based PyG datasets and dataloaders.
Interface-aware molecular generative framework for protein-protein interaction modulators
An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]