marcopodda / phd-thesisLinks
PhD Thesis
☆16Updated 4 years ago
Alternatives and similar repositories for phd-thesis
Users that are interested in phd-thesis are comparing it to the libraries listed below
Sorting:
- Tutorials for Machine Learning on Graphs☆231Updated 4 years ago
- A research library for automating experiments on Deep Graph Networks☆222Updated last month
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆144Updated 5 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆165Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Python library assists deep learning on graphs☆568Updated 2 months ago
- here you can find the material used for our Tutorials☆102Updated 4 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- ☆98Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Topological Graph Neural Networks (ICLR 2022)☆125Updated 3 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆157Updated last year
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆85Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Updated 2 years ago
- ☆64Updated 6 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- ☆179Updated 2 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- ☆179Updated 2 years ago
- ☆25Updated 4 years ago
- Hyperbolic Embeddings☆394Updated 2 years ago
- ☆155Updated 4 years ago
- Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep…☆152Updated 5 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- ☆19Updated 2 years ago
- A repo for holding example code☆158Updated 8 months ago
- Hyperbolic PCA via Horospherical Projections☆75Updated 2 years ago