Implementation and experiments of graph embedding algorithms.
☆3,839Mar 14, 2024Updated 2 years ago
Alternatives and similar repositories for GraphEmbedding
Users that are interested in GraphEmbedding are comparing it to the libraries listed below
Sorting:
- DeepWalk - Deep Learning for Graphs☆2,757Jun 14, 2023Updated 2 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,417Apr 26, 2025Updated 10 months ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,007Aug 9, 2024Updated last year
- ☆410Mar 18, 2025Updated 11 months ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆848Jan 11, 2023Updated 3 years ago
- ☆2,721Jul 21, 2022Updated 3 years ago
- A distributed graph deep learning framework.☆2,900Aug 19, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,245Jul 31, 2025Updated 7 months ago
- An Open-Source Package for Network Embedding (NE)☆1,703Jan 10, 2024Updated 2 years ago
- Classic papers and resources on recommendation☆3,517Oct 16, 2025Updated 5 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,665Aug 4, 2024Updated last year
- 【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☆1,808Dec 24, 2022Updated 3 years ago
- Tensorflow implementation of DeepFM for CTR prediction.☆2,066Jun 10, 2018Updated 7 years ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,390Jul 2, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,732Dec 20, 2023Updated 2 years ago
- Implementation of the node2vec algorithm.☆1,293Oct 6, 2025Updated 5 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,806Mar 18, 2023Updated 2 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,270Jun 14, 2024Updated last year
- ☆1,288Nov 5, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,366Apr 14, 2023Updated 2 years ago
- LINE: Large-scale information network embedding☆1,055Jul 16, 2024Updated last year
- Graph Neural Network Library for PyTorch☆23,565Updated this week
- ☆1,717Jun 12, 2020Updated 5 years ago
- Papers on Computational Advertising☆4,378Feb 9, 2021Updated 5 years ago
- tensorflow实战练习,包括强化学习、推荐系统、nlp等☆7,004Sep 24, 2023Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,519Aug 3, 2020Updated 5 years ago
- ☆1,201Mar 6, 2019Updated 7 years ago
- Recommender Learning with Tensorflow2.x☆1,983Apr 29, 2022Updated 3 years ago
- A curated list of network embedding techniques.☆2,625Dec 8, 2020Updated 5 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆934Nov 15, 2019Updated 6 years ago
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,453Updated this week
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,117Jul 6, 2023Updated 2 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆924Mar 6, 2020Updated 6 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆536Jan 11, 2022Updated 4 years ago
- Graph Convolutional Networks in PyTorch☆5,399Sep 20, 2020Updated 5 years ago
- An industrial deep learning framework for high-dimension sparse data☆4,307Sep 25, 2024Updated last year
- 深度学习相关的模型训练、评估和预测相关代码☆1,042Jul 26, 2021Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,412Mar 3, 2024Updated 2 years ago