alibaba / euler
A distributed graph deep learning framework.
☆2,897Updated last year
Alternatives and similar repositories for euler:
Users that are interested in euler are comparing it to the libraries listed below
- An Industrial Graph Neural Network Framework☆1,294Updated 7 months ago
- An Open-Source Package for Network Embedding (NE)☆1,692Updated last year
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,522Updated 4 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,241Updated 8 months ago
- LINE: Large-scale information network embedding☆1,049Updated 7 months ago
- Implementation and experiments of graph embedding algorithms.☆3,770Updated 11 months ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆528Updated 3 years ago
- 推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction☆1,003Updated last year
- ☆2,653Updated 2 years ago
- DeepWalk - Deep Learning for Graphs☆2,706Updated last year
- ☆1,643Updated 4 years ago
- 腾讯高性能分布式图计算框架Plato☆1,906Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆806Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,753Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,478Updated 6 months ago
- An industrial deep learning framework for high-dimension sparse data☆4,271Updated 4 months ago
- ☆1,144Updated 5 years ago
- Classic papers and resources on recommendation☆3,352Updated 4 years ago
- Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.☆896Updated 3 years ago
- Next RecSys Library☆1,054Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,397Updated 11 months ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,273Updated 9 months ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆921Updated 5 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆912Updated 4 years ago
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆756Updated 6 years ago
- Tensorflow implementation of DeepFM for CTR prediction.☆2,043Updated 6 years ago
- Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…☆673Updated 5 years ago
- ☆743Updated 5 years ago
- ☆439Updated 5 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,288Updated last year