Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
☆93May 19, 2025Updated last year
Alternatives and similar repositories for Awesome-Temporal-Graph-Learning
Users that are interested in Awesome-Temporal-Graph-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Apr 11, 2026Updated last month
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆20Apr 24, 2023Updated 3 years ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆709Jun 4, 2025Updated 11 months ago
- ☆25May 23, 2024Updated 2 years ago
- ☆13Apr 2, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- DYnamic MOtif-NoDes (DYMOND) is a dynamic network generative model based on temporal motifs and node behavior.☆15Mar 16, 2023Updated 3 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆50Nov 6, 2024Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆65May 12, 2026Updated 2 weeks ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆19Jun 26, 2024Updated last year
- ☆15Jul 18, 2024Updated last year
- ☆353May 4, 2026Updated 3 weeks ago
- ☆15Dec 28, 2023Updated 2 years ago
- ☆81Nov 15, 2024Updated last year
- Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).☆1,014Mar 30, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Egocentric Temporal Motifs Miner☆13Nov 9, 2021Updated 4 years ago
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆17Aug 7, 2023Updated 2 years ago
- [TNNLS 2022] Embedding Graph Auto-Encoder for Graph Clustering☆25Apr 6, 2022Updated 4 years ago
- Instant Graph Neural Networks for Dynamic Graphs☆11Dec 28, 2022Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆29Jul 17, 2024Updated last year
- Representation and learning framework for dynamic graphs using Graph Neural Networks.☆12Feb 4, 2022Updated 4 years ago
- Temporal Graph Benchmark project repo☆254Oct 6, 2025Updated 7 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆294Sep 28, 2023Updated 2 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37May 8, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆14Mar 4, 2022Updated 4 years ago
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆14Oct 5, 2024Updated last year
- ☆11Jun 21, 2022Updated 3 years ago
- ☆17Aug 8, 2023Updated 2 years ago
- A Unified Library for Deep Graph Clustering☆133Dec 17, 2025Updated 5 months ago
- ☆11Jan 28, 2023Updated 3 years ago
- dynamic/temporal network embedding☆33Mar 24, 2019Updated 7 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆39Oct 4, 2023Updated 2 years ago
- Graph in Graph Neural Network (https://arxiv.org/abs/2407.00696)☆15Sep 12, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS☆26Jul 10, 2024Updated last year
- ☆17Jul 13, 2022Updated 3 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Dec 31, 2024Updated last year
- [TNNLS 2023] An official source code for paper "Simple Contrastive Graph Clustering".☆41Mar 2, 2025Updated last year
- The link of DGNN's model and some datasets☆26Apr 2, 2025Updated last year
- ☆11May 14, 2023Updated 3 years ago