Implementation and experiments of graph embedding algorithms.
☆3,842Apr 26, 2026Updated 6 months ago
Alternatives and similar repositories for GraphEmbedding
Users that are interested in GraphEmbedding are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DeepWalk - Deep Learning for Graphs☆2,758Jun 14, 2023Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆857Jan 11, 2023Updated 3 years ago
- ☆409Mar 18, 2025Updated last year
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,051Oct 11, 2026Updated last month
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,437Apr 18, 2026Updated 6 months 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.
- ☆2,742Jul 21, 2022Updated 4 years ago
- An Open-Source Package for Network Embedding (NE)☆1,705Jan 10, 2024Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,291Jul 31, 2025Updated last year
- A distributed graph deep learning framework.☆2,903Aug 19, 2023Updated 3 years ago
- Classic papers and resources on recommendation☆3,577Oct 16, 2025Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,729Aug 4, 2024Updated 2 years ago
- 【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容☆1,841Dec 24, 2022Updated 3 years ago
- Implementation of the node2vec algorithm.☆1,304Oct 6, 2025Updated last year
- Must-read papers on graph neural networks (GNN)☆16,850Dec 20, 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.
- Tensorflow implementation of DeepFM for CTR prediction.☆2,063Jun 10, 2018Updated 8 years ago
- ☆1,286Nov 5, 2023Updated 3 years ago
- LINE: Large-scale information network embedding☆1,055Jul 16, 2024Updated 2 years ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,475Jul 9, 2026Updated 4 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,805Mar 18, 2023Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,417Apr 14, 2023Updated 3 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,268Jun 14, 2024Updated 2 years ago
- Graph Neural Network Library for PyTorch☆24,141Nov 6, 2026Updated last week
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆687Oct 3, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,512Aug 3, 2020Updated 6 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,123Jul 6, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 6 years ago
- ☆1,737Jun 12, 2020Updated 6 years ago
- A curated list of network embedding techniques.☆2,629Dec 8, 2020Updated 5 years ago
- ☆1,208Mar 6, 2019Updated 7 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,820Feb 1, 2024Updated 2 years ago
- Papers on Computational Advertising☆4,412Feb 9, 2021Updated 5 years ago
- tensorflow实战练习,包括强化学习、推荐系统、nlp等☆7,037Sep 24, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Sep 10, 2021Updated 5 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆538Jan 11, 2022Updated 4 years ago
- Recommender Learning with Tensorflow2.x☆1,980Apr 29, 2022Updated 4 years ago
- An industrial deep learning framework for high-dimension sparse data☆4,302Sep 25, 2024Updated 2 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆922Mar 6, 2020Updated 6 years ago
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,519Oct 26, 2026Updated 2 weeks ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆937Nov 15, 2019Updated 6 years ago
Are these results useful?