Aalto-QuML / TopNetsLinks
Topological Neural Networks go Persistent, Equivariant and Continuous
☆13Updated last year
Alternatives and similar repositories for TopNets
Users that are interested in TopNets are comparing it to the libraries listed below
Sorting:
- ☆31Updated last year
- ☆20Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆40Updated 4 months ago
- Official implementation of pre-training via denoising for TorchMD-NET☆92Updated 2 years ago
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆42Updated 2 years ago
- ☆60Updated 3 years ago
- E(3) Steerable Graph Neural Network☆119Updated 2 years ago
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"☆73Updated last year
- [NeurIPS 2023] Implementation of "Improving Self-supervised Molecular Representation Learning using Persistent Homology"☆12Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Random walk unit with memory☆21Updated 9 months ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆77Updated 11 months ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year
- Data and code for graph neural network accelerated molecular dynamics☆42Updated 3 years ago
- Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023☆122Updated last year
- ☆9Updated 3 years ago
- List of Geometric GNNs for 3D atomic systems☆113Updated last year
- Triplet Graph Transformer☆44Updated last year
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆33Updated last year
- [NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".☆30Updated last year
- MoFlow: an invertible flow model for generating molecular graphs☆137Updated 2 years ago
- ☆34Updated 5 months ago
- Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"☆25Updated 3 weeks ago
- PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.☆58Updated 3 years ago
- ☆29Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated 2 years ago
- ☆54Updated 3 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆81Updated 8 months ago
- ☆56Updated 7 months ago
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆23Updated 8 months ago