Alternatives and similar repositories for graph-attribution

Users that are interested in graph-attribution are comparing it to the libraries listed below

• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆79Updated 3 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• divelab / MoleculeX
  ☆166Updated 3 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated last year
• tufts-ml / graph-generation-vi
  This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…
  ☆28Updated 2 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 4 years ago
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆44Updated 6 years ago
• chao1224 / n_gram_graph
  N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
  ☆38Updated 4 years ago
• gmh14 / data_efficient_grammar
  [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
  ☆95Updated last year
• danilonumeroso / meg
  Molecular Explanation Generator
  ☆17Updated 3 years ago
• yuanqidu / GraphGT
  ☆60Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• DavideBuffelli / SAME
  Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…
  ☆18Updated 3 years ago
• john-bradshaw / electro
  Core code for the paper "A Generative Model For Electron Paths" (https://openreview.net/forum?id=r1x4BnCqKX).
  ☆18Updated 5 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆54Updated 5 years ago
• mims-harvard / G-Meta
  Graph meta learning via local subgraphs (NeurIPS 2020)
  ☆123Updated 10 months ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• MinkaiXu / ConfVAE-ICML21
  An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
  ☆51Updated 3 years ago
• AITRICS / mol_reliable_gnn
  Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'
  ☆28Updated 4 years ago
• john-bradshaw / molecule-chef
  Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)
  ☆78Updated last year
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• gmum / huggingmolecules
  ☆123Updated last year
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆29Updated 2 years ago
• edvardlindelof / graph-neural-networks-for-drug-discovery
  ☆98Updated 5 years ago
• ndey96 / GCNN-Explainability
  Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories
  ☆83Updated 3 years ago
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆24Updated 9 months ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆129Updated 8 months ago
• graphcore / ogb-lsc-pcqm4mv2
  The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …
  ☆77Updated 10 months ago