RecBole VS GraphNorm

Compare RecBole vs GraphNorm and see what are their differences.

GraphNorm

[ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation) (by lsj2408)
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RecBole GraphNorm
3 1
3,174 98
2.6% -
8.4 0.0
4 days ago over 1 year ago
Python Python
MIT License MIT License
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.

GraphNorm

Posts with mentions or reviews of GraphNorm. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing RecBole and GraphNorm 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.

recollapse - REcollapse is a helper tool for black-box regex fuzzing to bypass validations and discover normalizations in web applications

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

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

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

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

ranking - Learning to Rank in TensorFlow

qagnn - [NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

spotlight - Deep recommender models using PyTorch.

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.