c-hofer / graph_filtration_learningLinks
☆21Updated 4 years ago
Alternatives and similar repositories for graph_filtration_learning
Users that are interested in graph_filtration_learning are comparing it to the libraries listed below
Sorting:
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 9 months ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆30Updated last year
- ☆47Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- ☆28Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- ☆14Updated 8 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- ☆31Updated last year
- ☆12Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆43Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆68Updated last month
- HERMES: A software package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent …☆19Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- ☆40Updated 2 years ago
- ☆54Updated 2 years ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- ☆11Updated last year
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 2 months ago
- WKPI: A kernel based on persistent homology☆12Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 3 months ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆67Updated 9 months ago