Skip to content

Latest commit

 

History

History
19 lines (12 loc) · 600 Bytes

README.md

File metadata and controls

19 lines (12 loc) · 600 Bytes
Raw

Here is the source code for the submission paper "Retrieving GNN Architecture for Collaborative Filtering ". Thank you for your interest in our work!

First we will construct meta-train database for both tasks.

bash space_for_cf/run_batch.sh

Then we will do the meta train and searching.

bash run.sh

The generate yaml file move to configs in space_for cf and rerun the configs based on space_for cf.

the meta feature extractor in space_for_cf/datasets/dataset_to_meta.py

Here is the commit readme version of conference. We will release a more detail readme soon.