The SDNE (Structural Deep Network Embedding) based on Pytorch
☆31Apr 13, 2020Updated 6 years ago
Alternatives and similar repositories for SDNE-based-on-Pytorch
Users that are interested in SDNE-based-on-Pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Sep 10, 2021Updated 5 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Jul 11, 2021Updated 5 years ago
- A PyTorch implementation of the LINE paper.☆50Aug 5, 2025Updated last year
- A pytorch implementation of HIN2vec☆19Jul 13, 2021Updated 5 years ago
- Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"☆76Jun 18, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆26Jan 14, 2021Updated 5 years ago
- Implementation for paper2repo☆11Dec 7, 2020Updated 5 years ago
- R Implementation of the Time Varying Cointegration by Bierens and Martins 2010☆10Apr 14, 2016Updated 10 years ago
- ☆10Apr 11, 2022Updated 4 years ago
- ☆10Aug 7, 2020Updated 6 years ago
- Implementation of Semi-AE-Rec (ICONIP 2017)☆11Aug 10, 2018Updated 8 years ago
- [COLING 2020] BERT-based Models for Chengyu☆17Dec 29, 2021Updated 4 years ago
- Code for Predictive Network Representation Learning (SIGIR 2017)☆11Apr 24, 2020Updated 6 years ago
- Use this project to product logs to Kafka☆10Dec 5, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An algorithm based on https://github.com/hexiangnan/neural_collaborative_filtering/ but improving by add item information☆13Jun 1, 2017Updated 9 years ago
- [Briefings in Bioinformatics'20] Integrating multi-network topology for gene function prediction using deep neural networks☆14Sep 5, 2019Updated 7 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Apr 16, 2018Updated 8 years ago
- Dropout Feature Ranking for Deep Learning Models☆12Jun 20, 2020Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Apr 14, 2023Updated 3 years ago
- Local community detection code that implements the methods used in Think Locally, Act Locally: The Detection of Small, Medium-Sized, and …☆13Jun 20, 2018Updated 8 years ago
- PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protei…☆12Nov 30, 2020Updated 5 years ago
- Code and data for popular role oriented network embedding methods☆11Jul 18, 2021Updated 5 years ago
- An Open-Source Package for Network Embedding (NE)☆1,705Jan 10, 2024Updated 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.
- A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorf…☆13Jul 17, 2021Updated 5 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27May 21, 2022Updated 4 years ago
- ☆13Mar 27, 2020Updated 6 years ago
- 分析Flickr数据集☆19Jan 17, 2018Updated 8 years ago