RecBole VS dgl

Compare RecBole vs dgl and see what are their differences.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks. (by dmlc)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
RecBole dgl
3 4
3,137 12,913
2.8% 1.6%
8.4 9.9
7 days ago 1 day ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

RecBole

Posts with mentions or reviews of RecBole. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-05.

dgl

Posts with mentions or reviews of dgl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-03.

What are some alternatives?

When comparing RecBole and dgl you can also consider the following projects:

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

pytorch_geometric - Graph Neural Network Library for PyTorch

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

PFoodReq - Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

torchdrug - A powerful and flexible machine learning platform for drug discovery

RecSysDatasets - This is a repository of public data sources for Recommender Systems (RS).

spektral - Graph Neural Networks with Keras and Tensorflow 2.

deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)