Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023
☆35Nov 8, 2023Updated 2 years ago
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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated last year
- The library for pooling in Graph Neural Networks made for Pytorch Geometric☆56Updated this week
- Simple code for the tutorial on Polynomial Nets.☆13Jan 19, 2023Updated 3 years ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆25Apr 1, 2025Updated 11 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…☆15Jan 2, 2025Updated last year
- Implementation of a list sweeper: instead of the cartesian product, sweep over the zipped list☆28Mar 17, 2025Updated last year
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆21Apr 17, 2025Updated 11 months ago
- Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).☆23Dec 9, 2020Updated 5 years ago
- Synthetic graph generator☆12Nov 7, 2023Updated 2 years ago
- PyC (Pytorch Concepts) is a PyTorch-based library for training concept-based interpretable deep learning models.☆31Mar 21, 2026Updated last week
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆60Jun 2, 2022Updated 3 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Nov 27, 2025Updated 4 months ago
- Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)☆15Dec 7, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Oct 10, 2023Updated 2 years ago
- Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"☆10Sep 8, 2021Updated 4 years ago
- Temporal Graph Benchmark project repo☆249Oct 6, 2025Updated 5 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Mar 28, 2025Updated last year
- Code Repository for GDSS using Graph Transformer☆17Nov 16, 2023Updated 2 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Dec 10, 2021Updated 4 years ago
- The implementation for DropMessage.☆23Mar 9, 2023Updated 3 years ago
- ☆15Jul 14, 2025Updated 8 months ago
- ☆13Feb 16, 2021Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)☆15Apr 30, 2024Updated last year
- Temporal GNN Lightweight Framework☆31Apr 2, 2024Updated last year
- ETNgen: A temporal graph generator based on Egocentric Temporal Motifs☆14Aug 11, 2023Updated 2 years ago
- ☆11Aug 3, 2023Updated 2 years ago
- A python tool for numerically encoding protein sequences based on PSSM profile☆13Jun 25, 2021Updated 4 years ago
- ☆31Nov 23, 2025Updated 4 months ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Jun 9, 2020Updated 5 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆74Feb 7, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- The code for experiments conducted to verify the correctness of mirror learning.☆11Jun 3, 2022Updated 3 years ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆29Nov 6, 2025Updated 4 months ago
- ☆13Nov 13, 2020Updated 5 years ago
- List of papers on ICML2023.☆55Aug 28, 2023Updated 2 years ago
- ☆24Oct 11, 2022Updated 3 years ago
- Change Detection in a sequence of Graphs☆21May 4, 2022Updated 3 years ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆12Jun 15, 2023Updated 2 years ago