VirtuosoResearch / Generalization-in-graph-neural-networksLinks
Measuring generalization properties of graph neural networks
☆15Updated 3 weeks ago
Alternatives and similar repositories for Generalization-in-graph-neural-networks
Users that are interested in Generalization-in-graph-neural-networks are comparing it to the libraries listed below
Sorting:
- ☆80Updated 2 years ago
- ☆63Updated 5 months ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- ☆61Updated last year
- Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clr…☆18Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- Exphormer: Sparse Transformer for Graphs☆186Updated last year
- 🧮 Algebraic Positional Encodings.☆16Updated 2 weeks ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- ☆122Updated last year
- The Energy Transformer block, in JAX☆59Updated last year
- Graphically structured diffusion model.☆20Updated 2 years ago
- An annotated implementation of the Hyena Hierarchy paper☆33Updated 2 years ago
- ☆35Updated 9 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Computational abilities and efficiency of neural networks☆57Updated last month
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- ☆22Updated 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
- ☆175Updated last year
- ☆13Updated 6 months ago
- ☆33Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- List of papers on ICML2023.☆55Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classificatio…☆25Updated last year
- Representation Learning on Topological Domains☆87Updated this week
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆56Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆202Updated 6 months ago