Hypergraphs with Attention on Reviews for Explainable Recommendation #600
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lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
lthoang
reviewed
Mar 13, 2024
|
LGTM |
qtuantruong
requested changes
Mar 13, 2024
|
@theisjendal @lthoang thanks for creating and reviewing this PR. Since there are many changes introduced, I would suggest to create separate PR that is dedicated to the changes in the LightGCN model first. I also would like to learn the motivation behind those changes. After that, we can revisit this PR for the purpose of adding the HypAR model. How does that sound? |
Added hyper and its functions.
qtuantruong
reviewed
Mar 19, 2024
|
LGTM |
qtuantruong
approved these changes
Mar 19, 2024
qtuantruong
pushed a commit
to qtuantruong/cornac
that referenced
this pull request
Oct 25, 2025
…referredAI#600) * Init method * Example file * Added HypAR Added hyper and its functions. * Added dataset standard files and virtual env names to ignore * Create graph comments * Flock comments * Graph wrapper comments * ao embedding comments * Remove learned ui embeddings * Learned embedding and norm comments * fit comments * Removed unused code * Comments on main file * Removed more and comments * More comments * More comments * Updated readmes * Fix dataset name * Reference fix * Path fix * Removed example * Removed HypAR from examples readme * Styling * Added hypar doc string * Removed spacing * Added paper link * Moved docstrings to earlier * Simplified model type * Added paper reference * Added lightgcn as part of HypAR * Updated url * Fix double normalize of first layer
qtuantruong
pushed a commit
to qtuantruong/cornac
that referenced
this pull request
Oct 25, 2025
…referredAI#600) * Init method * Example file * Added HypAR Added hyper and its functions. * Added dataset standard files and virtual env names to ignore * Create graph comments * Flock comments * Graph wrapper comments * ao embedding comments * Remove learned ui embeddings * Learned embedding and norm comments * fit comments * Removed unused code * Comments on main file * Removed more and comments * More comments * More comments * Updated readmes * Fix dataset name * Reference fix * Path fix * Removed example * Removed HypAR from examples readme * Styling * Added hypar doc string * Removed spacing * Added paper link * Moved docstrings to earlier * Simplified model type * Added paper reference * Added lightgcn as part of HypAR * Updated url * Fix double normalize of first layer
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Description
I have added a new model named HypAR, a new example file for HypAR, and made edits to Lightgcn.
For HypAR I've created the recom_hyper file, requirements.txt and requirements_cu116.txt.
The example file runs the method on the Cellphone dataset. As this is not part of Cornac, I simply define the methods for creating the dataset directly in the example. The parameters for HypAR are found on the validation set.
For LightGCN I have (see commit 1799bf8):
Without these LightGCN wouldn't perform as required.
Todo: Add reference to paper once publicised in readme.
Checklist:
README.md(if you are adding a new model).examples/README.md(if you are adding a new example).datasets/README.md(if you are adding a new dataset).