AnirudhDagar / MessagePassing_for_GNNs
Experiments with Message Passing GNNs in C++ and PyTorch.
☆25Updated 9 months ago
Alternatives and similar repositories for MessagePassing_for_GNNs
Users that are interested in MessagePassing_for_GNNs are comparing it to the libraries listed below
Sorting:
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated last year
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- ☆12Updated 3 years ago
- ☆10Updated 2 years ago
- ☆12Updated 5 years ago
- Graph Convolutional Networks in JAX☆32Updated 4 years ago
- ☆12Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆18Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- Embedding-based Silhouette Community Detection☆9Updated 4 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated last year
- ☆31Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- ☆24Updated last year
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- ☆12Updated 5 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated last year
- IPC: A Graph Data Set Compiled from International Planning Competitions☆45Updated 5 years ago
- This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generat…☆21Updated 3 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆28Updated 11 months ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Code for paper: Neural Architecture Search in Graph Neural Networks (BRACIS 2020)☆18Updated last year
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago