qagnn
[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖 (by michiyasunaga)
RecBole
A unified, comprehensive and efficient recommendation library (by RUCAIBox)
qagnn | RecBole | |
---|---|---|
6 | 3 | |
588 | 3,181 | |
- | 1.2% | |
0.0 | 8.2 | |
about 1 year ago | 11 days 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.
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.
qagnn
Posts with mentions or reviews of qagnn.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] what percent of top conference papers fudge results?
QA-GNN (https://github.com/michiyasunaga/qagnn from a Stanford lab) had some issues with their evaluation, but more importantly this work 'GNN is counting?...' (https://openreview.net/forum?id=hzmQ4wOnSb) showed that they can achieve better results with an extremely simplistic 1-dim GNN model - so the performance of QA-GNN was mainly due to data. AFAIK there were discussions around this, but now if you go to QA-GNN repo they have disabled issues tab.
- Stanford’s AI Researchers Introduce QA-GNN Model That Jointly Reasons With Language Models And Knowledge Graphs
- [R] Stanford’s AI Researchers Introduce QA-GNN Model That Jointly Reasons With Language Models And Knowledge Graphs
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)
What are some alternatives?
When comparing qagnn and RecBole you can also consider the following projects:
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets