crisbodnar / dgm
Deep Graph Mapper: Seeing Graphs through the Neural Lens
☆56Updated last year
Alternatives and similar repositories for dgm:
Users that are interested in dgm are comparing it to the libraries listed below
- ☆16Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆77Updated 3 years ago
- ☆18Updated last year
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- Ultrahyperbolic Representation Learning☆12Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated 9 months ago
- Representation Learning on Topological Domains☆79Updated last week
- Codebase for Evaluating Attribution for Graph Neural Networks.☆76Updated 4 years ago
- ☆26Updated 6 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- Embedding graphs in symmetric spaces☆30Updated 3 years ago
- Learning Tree structures and Tree metrics☆23Updated 7 months ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆33Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 6 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆159Updated last year
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- ☆94Updated last year
- ☆25Updated 3 years ago
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- ☆30Updated last year
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆24Updated 7 months ago
- Local signatures for 3D shapes with persistent homology☆13Updated 5 years ago