nec-research / Adaptive-Message-PassingLinks
Official Repository of Adaptive Message Passing
☆18Updated last month
Alternatives and similar repositories for Adaptive-Message-Passing
Users that are interested in Adaptive-Message-Passing are comparing it to the libraries listed below
Sorting:
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- ☆31Updated last year
- Graph Positional and Structural Encoder☆53Updated 7 months ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- ☆41Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- ☆22Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 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 6 months ago
- 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
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 9 months ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- Exphormer: Sparse Transformer for Graphs☆185Updated last year
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆79Updated 9 months ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 3 years ago
- Random walk unit with memory☆23Updated 11 months ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 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
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- A library for subgraph GNN based on pyg☆40Updated 9 months ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 5 months ago
- List of papers on NeurIPS2023☆89Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆60Updated 3 years ago