google-research / graph-attributionLinks
Codebase for Evaluating Attribution for Graph Neural Networks.
☆83Updated 4 years ago
Alternatives and similar repositories for graph-attribution
Users that are interested in graph-attribution are comparing it to the libraries listed below
Sorting:
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆81Updated 4 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆96Updated 3 years ago
- ☆81Updated 2 years ago
- ☆171Updated 3 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- OTGNN code☆56Updated 5 years ago
- ☆58Updated 3 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆56Updated 6 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation☆97Updated 2 years ago
- ☆58Updated 4 years ago
- Molecular Explanation Generator☆17Updated 3 years ago
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures" (NeurIPS 2020 Workshop)☆73Updated 2 years ago
- Reinforcement Learning for Molecular Design Guided by Quantum Mechanics☆127Updated 2 years ago
- Sample code for Constrained Graph Variational Autoencoders☆240Updated 2 years ago
- ☆59Updated 7 years ago
- Source codes for 'A baseline for reliable molecular prediction models via Bayesian learning'☆29Updated 5 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 4 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆78Updated last year
- N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)☆40Updated 4 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆65Updated 5 years ago
- Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)☆80Updated 2 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 4 years ago
- ☆63Updated 6 years ago
- Code for our paper "Barking up the right tree: an approach to search over molecule synthesis DAGs"☆47Updated last year
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆45Updated 6 years ago
- ☆125Updated 2 years ago
- ☆69Updated 3 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆29Updated 7 months ago