google-research / graph-attribution
Codebase for Evaluating Attribution for Graph Neural Networks.
☆74Updated 3 years ago
Alternatives and similar repositories for graph-attribution:
Users that are interested in graph-attribution are comparing it to the libraries listed below
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆86Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago
- ☆60Updated 2 years ago
- [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation☆95Updated last year
- OTGNN code☆55Updated 4 years ago
- Bayesian MPNNs for Molecular Property Prediction☆27Updated 4 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆54Updated 5 years ago
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆122Updated 5 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- ☆164Updated 2 years ago
- ☆81Updated last year
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Graph Positional and Structural Encoder☆45Updated 3 weeks ago
- ☆52Updated 3 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆27Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆73Updated 6 months ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆72Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆182Updated 8 months ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆23Updated 6 months ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆92Updated 2 years ago
- Molecular Explanation Generator☆17Updated 3 years ago
- Core code for the paper "A Generative Model For Electron Paths" (https://openreview.net/forum?id=r1x4BnCqKX).☆18Updated 5 years ago
- Explanation method for Graph Neural Networks (GNNs)☆62Updated 3 years ago
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated 2 months ago
- ☆95Updated 4 years ago