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
  ☆77Updated 3 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 4 years ago
• divelab / MoleculeX
  ☆165Updated 3 years ago
• yuanqidu / GraphGT
  ☆60Updated 2 years ago
• andreeadeac22 / graph_coattention
  Work on designing a graph co-attention algorithm.
  ☆18Updated last year
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• DeepGraphLearning / GraphAF
  ☆53Updated 3 years ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆33Updated 3 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆92Updated 2 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆87Updated last year
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆54Updated 5 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆134Updated 2 years ago
• gmh14 / data_efficient_grammar
  [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
  ☆95Updated last year
• 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 …
  ☆75Updated 7 months ago
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆28Updated 2 years ago
• codeKgu / BiLevel-Graph-Neural-Network
  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
  ☆29Updated 4 years ago
• SeongokRyu / uq_molecule
  Uncertainty quantification of molecular property prediction using Bayesian deep learning
  ☆44Updated 6 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• john-bradshaw / molecule-chef
  Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)
  ☆77Updated last year
• MinkaiXu / ConfVAE-ICML21
  An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
  ☆51Updated 3 years ago
• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆149Updated 6 years ago
• zhiqiangzhongddu / KDD2023_KaGML_DrugDiscovery_Tutorial
  Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability
  ☆21Updated last year
• yangkevin2 / coronavirus_data
  ☆81Updated last year
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 4 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• gmum / huggingmolecules
  ☆122Updated last year
• AITRICS / mol_reliable_gnn
  Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'
  ☆28Updated 4 years ago