AstraZeneca / awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
β1,954Updated 2 years ago
Alternatives and similar repositories for awesome-explainable-graph-reasoning:
Users that are interested in awesome-explainable-graph-reasoning are comparing it to the libraries listed below
- Code and resources on scalable and efficient Graph Neural Networksβ527Updated 2 years ago
- π A study guide to learn about Graph Neural Networks (GNNs)β1,169Updated 2 years ago
- A library for graph deep learning researchβ1,920Updated 7 months ago
- Pen and paper exercises in machine learningβ1,959Updated 8 months ago
- A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)β727Updated last year
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expβ¦β2,068Updated last month
- Graph Neural Networks with Keras and Tensorflow 2.β2,374Updated last year
- A powerful and flexible machine learning platform for drug discoveryβ1,470Updated 6 months ago
- A Dataset of Python Challenges for AI Researchβ974Updated 9 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)β1,751Updated last year
- A general purpose recommender metrics library for fair evaluation.β281Updated last year
- β1,421Updated 2 years ago
- π Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.β2,837Updated last year
- An autoML framework & toolkit for machine learning on graphs.β1,095Updated 6 months ago
- π€ A Python library for learning and evaluating knowledge graph embeddingsβ1,743Updated this week
- A data augmentations library for audio, image, text, and video.β4,988Updated 2 weeks ago
- Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.β¦β1,680Updated 7 months ago
- A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andΒ codβ¦β2,231Updated 3 years ago
- Python library assists deep learning on graphsβ555Updated last year
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domainsβ1,746Updated last year
- Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)β2,194Updated 7 months ago
- A research library for automating experiments on Deep Graph Networksβ220Updated 5 months ago
- A collection of resources to learn about MLOPs.β929Updated last year
- This repo contains annotated research papers that I found really good and usefulβ2,716Updated last month
- Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplβ¦β809Updated 10 months ago
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.β1,401Updated this week
- Benchmark datasets, data loaders, and evaluators for graph machine learningβ1,971Updated 2 months ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)β1,379Updated 3 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.β3,385Updated 3 weeks ago
- Version control for machine learningβ1,658Updated last week