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

• chaitjo / efficient-gnns
  Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
  ☆532Updated 2 years ago
• dair-ai / GNNs-Recipe
  🟠 A study guide to learn about Graph Neural Networks (GNNs)
  ☆1,190Updated 2 years ago
• facebookresearch / madgrad
  MADGRAD Optimization Method
  ☆803Updated 2 months ago
• Lightning-Universe / lightning-flash
  Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
  ☆1,741Updated last year
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,434Updated 3 weeks ago
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,533Updated 2 years ago
• dair-ai / MLOPs-Primer
  A collection of resources to learn about MLOPs.
  ☆934Updated 2 years ago
• pykeen / pykeen
  🤖 A Python library for learning and evaluating knowledge graph embeddings
  ☆1,783Updated this week
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,425Updated last year
• google / model_search
  ☆3,258Updated 8 months ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,792Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆556Updated last year
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,997Updated last year
• OATML / non-parametric-transformers
  Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
  ☆412Updated last year
• DeepGraphLearning / torchdrug
  A powerful and flexible machine learning platform for drug discovery
  ☆1,495Updated 8 months ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,398Updated 5 months ago
• graph4ai / graph4nlp
  Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.…
  ☆1,680Updated 10 months ago
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,837Updated 2 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,488Updated 3 weeks ago
• AstraZeneca / rexmex
  A general purpose recommender metrics library for fair evaluation.
  ☆280Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,377Updated last year
• google-deepmind / educational
  ☆1,431Updated 2 years ago
• upb-lea / reinforcement_learning_course_materials
  Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn Univ…
  ☆981Updated 7 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,465Updated last week
• CalculatedContent / WeightWatcher
  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
  ☆1,577Updated 7 months ago
• wangyongjie-ntu / Awesome-explainable-AI
  A collection of research materials on explainable AI/ML
  ☆1,486Updated last month
• orico / www.mlcompendium.com
  The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…
  ☆2,071Updated 4 months ago
• AstraZeneca / chemicalx
  A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
  ☆738Updated last year
• microsoft / ptgnn
  A PyTorch Graph Neural Network Library
  ☆375Updated 3 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,995Updated 4 months ago