FilippoMB / The-expressive-power-of-pooling-in-GNNsLinks
Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
☆36Updated last year
Alternatives and similar repositories for The-expressive-power-of-pooling-in-GNNs
Users that are interested in The-expressive-power-of-pooling-in-GNNs are comparing it to the libraries listed below
Sorting:
- ☆41Updated 3 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- GraphCON (ICML 2022)☆59Updated 3 years ago
- SignNet and BasisNet☆101Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- ☆31Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆159Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- ☆155Updated 4 years ago
- A library for subgraph GNN based on pyg☆40Updated 10 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- List of papers on NeurIPS2023☆89Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 3 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 8 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆83Updated 10 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- ☆22Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆112Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 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
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- ☆28Updated 4 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 3 years ago