twitter-research / neural-sheaf-diffusionLinks
☆75Updated last year
Alternatives and similar repositories for neural-sheaf-diffusion
Users that are interested in neural-sheaf-diffusion are comparing it to the libraries listed below
Sorting:
- Message Passing Neural Networks for Simplicial and Cell Complexes☆162Updated last year
- ☆40Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated 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
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆87Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- ☆31Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆81Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- A library for subgraph GNN based on pyg☆41Updated 6 months 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
- Graph Positional and Structural Encoder☆50Updated 4 months ago
- ☆156Updated 3 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆81Updated 6 months ago
- SignNet and BasisNet☆97Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- ☆82Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆82Updated 7 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- List of papers on ICML2023.☆55Updated last year
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆30Updated last year