🐍🧑🏼💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
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Updated
Jul 23, 2024 - Python
🐍🧑🏼💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
Geometric deep learning of protein–DNA binding specificity
A Graph Neural Network to classify human HIV inhibitor molecules using DeepChem feature extractor
GraphAC (Graph Adversarial Collaboration) – a novel, principled, task-agnostic, and stable framework for evaluating GNNs through contrastive self-supervision, without the need of handcrafted augmentations
Python code for Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets
The source code of the experimental evaluation of Deprez et al. (nd)
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.
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
Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets
Papers about Phishing Scams Detectation on Ethereum
Movie Recommender system with graph neural networks
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