jacobdeasy / geometric-js
☆16Updated 3 years ago
Alternatives and similar repositories for geometric-js:
Users that are interested in geometric-js are comparing it to the libraries listed below
- ☆18Updated last year
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆55Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'☆30Updated 8 months ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆29Updated 3 years ago
- ☆12Updated 3 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆16Updated 4 months ago
- ☆37Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 6 months ago
- Learning Tree structures and Tree metrics☆23Updated 5 months ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Taxonomy of Benchmarks in Graph Representation Learning☆19Updated 2 years ago
- Weekly reading group on Graph Representation Learning at Mila☆17Updated 4 years ago
- ☆30Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆17Updated last year
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆47Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated 7 months ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 3 years ago
- Learning neural network embeddings in hyperbolic spaces☆14Updated 5 years ago
- Exploring the space of drug combinations to discover synergistic drugs using Active Learning☆23Updated 5 months ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Updated 3 years ago
- Bayesian Optimisation for String Spaces☆24Updated 3 years ago
- Gene Expression Imputation with Generative Adversarial Imputation Nets☆12Updated last year