Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
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Updated
Jul 2, 2024 - Python
Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
🐍🧑🏼💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
Code I used for my YouTube videos
A PyG-based package of spectral GNNs with benchmark evaluations.
The source code of the experimental evaluation of Deprez et al. (nd)
Protein Graph Library
Pytorch implementation of a dynamic gnn based on Roland framework
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Graph Neural Networks (GNN) Experimentation Playground
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
Code repo for the paper "AutoGO: Automated Computation Graph Optimization for Neural Network Evolution", accepted to NeurIPS 2023.
gRNAde: Geometric Deep Learning for 3D RNA inverse design
SREX-GNN improves Genetic Optimization Algorithms by enabling an Graph Neural Network to select the correct "genes" to cross-over
Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
GNN Explainability in a regression setting - semester project for Applied Mathematics MSc @ EPFL
Graph representation learning with GNNs for predicting disease risk from family EHRs
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets
Papers about Phishing Scams Detectation on Ethereum
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