graphlearn-for-pytorch
A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference. (by alibaba)
RecBole
A unified, comprehensive and efficient recommendation library (by RUCAIBox)
graphlearn-for-pytorch | RecBole | |
---|---|---|
1 | 3 | |
107 | 3,197 | |
2.8% | 1.9% | |
8.2 | 8.2 | |
19 days ago | 25 days ago | |
Python | Python | |
Apache License 2.0 | 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.
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.
graphlearn-for-pytorch
Posts with mentions or reviews of graphlearn-for-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-15.
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.
- RecBole – A unified, comprehensive and efficient recommendation library
-
Observe differences in the behavior of recommendation models using RecBole
RecBole seems to be a joint project started by the laboratories of Renmin University of China and Peking University, and it appeared on arxiv in November 2020. In August 2021, the module that we provide reached v1.0, and it seems to be used by various people in earnest.
- Help with discussion on GitHub (Python)