PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
☆146Apr 15, 2026Updated last month
Alternatives and similar repositories for pytorch_geometric_signed_directed
Users that are interested in pytorch_geometric_signed_directed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Feb 8, 2025Updated last year
- Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.☆25Oct 13, 2024Updated last year
- MagNet graph convolutional network☆40Jan 8, 2024Updated 2 years ago
- The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)☆15Aug 24, 2021Updated 4 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆58Jul 6, 2023Updated 2 years ago
- AI Agents on 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.
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆19Aug 8, 2023Updated 2 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆276Mar 18, 2023Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Sep 4, 2023Updated 2 years ago
- (BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding☆11Dec 22, 2018Updated 7 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Jan 31, 2023Updated 3 years ago
- A package for clustering of Signed Networks☆41Mar 11, 2021Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Nov 29, 2021Updated 4 years ago
- Learning Signed Network Embedding via Graph Attention, aaai2020☆22Apr 7, 2020Updated 6 years ago
- AI Agents on 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.
- Play Wordle in the CLI. Write an algorithm to play Wordle for you. Ruin all of the fun you've been having.☆12Jun 26, 2024Updated last year
- Published as a journal paper at DAMI 2023☆18Feb 11, 2025Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 4 years ago
- source code for signed bipartite graph neural networks(CIKM 2021)☆18Mar 8, 2022Updated 4 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 (LoG) tutorial "Graph Rewiring: From Theory to Applic…☆54Dec 20, 2022Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- ☆10Jun 14, 2025Updated 11 months ago
- ☆12Sep 17, 2022Updated 3 years ago
- A library for subgraph GNN based on pyg☆39Nov 28, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆87Jun 7, 2023Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 5 years ago
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆139Apr 24, 2024Updated 2 years ago
- ☆18Sep 1, 2022Updated 3 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,985May 30, 2026Updated last week
- ☆98Jul 5, 2024Updated last year
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago
- A research library for automating experiments on Deep Graph Networks☆222Dec 16, 2025Updated 5 months ago
- Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks☆54Nov 27, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official Pytorch Implementation of GraphiT☆110Jul 6, 2021Updated 4 years ago
- ☆12Jan 29, 2022Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Discovering Polarized Communities in Signed Networks☆13Sep 2, 2019Updated 6 years ago
- ☆11Sep 29, 2022Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year