graph-progression
Create a progression of recommendations from a user-supplied recommender (by askarthur)
LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation" (by HKUDS)
| graph-progression | LLMRec | |
|---|---|---|
| 1 | 1 | |
| 1 | 336 | |
| - | - | |
| 0.0 | 8.7 | |
| about 2 years ago | 3 months 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.
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.
graph-progression
Posts with mentions or reviews of graph-progression.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Create a progression of recommendations with any recommender
Hi! For work I made a recommendation progression package which we've open sourced! Let me explain.
LLMRec
Posts with mentions or reviews of LLMRec.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing graph-progression and LLMRec you can also consider the following projects:
algorithmx-python - A library for network visualization and algorithm simulation.
torchrec - Pytorch domain library for recommendation systems
linkedin-visualizer - The missing feature in LinkedIn
recommenders - Best Practices on Recommendation Systems
garrascobike-be - Code of the Garrascobike back-end service
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
netgraph - Publication-quality network visualisations in python
reddit-detective - Play detective on Reddit: Discover political disinformation campaigns, secret influencers and more
nodezator - A generalist Python node editor