BorgwardtLab / TOGLLinks
Topological Graph Neural Networks (ICLR 2022)
☆123Updated 3 years ago
Alternatives and similar repositories for TOGL
Users that are interested in TOGL are comparing it to the libraries listed below
Sorting:
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated 11 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- SignNet and BasisNet☆101Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- ☆22Updated 4 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- ☆54Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆155Updated 4 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year
- 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
- A topological machine learning framework based on PyTorch☆185Updated last month
- ☆80Updated 2 years ago
- Topological Deep Learning☆289Updated this week
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- ☆41Updated 3 years ago
- Graph Neural PDEs☆333Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.☆259Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆125Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆193Updated last year
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 3 months ago