List of molecular design using Generative AI and Deep Learning
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Updated
May 13, 2024
List of molecular design using Generative AI and Deep Learning
[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
List of protein (enzymes and PPIs) conformations and molecular dynamics using generative artificial intelligence and deep learning
Edge-Augmented Graph Transformer
[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.
[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
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
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