This is the official repo for the IJCAI'22 paper "Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks".
Please first download the data, then put them under the folder 'data/'.
For the mappings between the nodes in Large-RG (the recipe graph) and the recipe text (recipes.json), please check the following code block:
recipeID2nodeID_dict, nodeID2recipeID_dict = torch.load('../data/recipeID2nodeID_and_nodeID2recipeID.pt')
ingreID2nodeID_dict, nodeID2ingreID_dict = torch.load('../data/ingre2nodeID_and_nodeID2ingre.pt')
All codes have been put into a jupyter notebook for easy reading and executing. We further log the results in the notebook for demonstration purposes.
If you find Recipe2Vec useful, please cite our paper.
@inproceedings{Recipe2Vec,
author = {Tian, Yijun and Zhang, Chuxu and Guo, Zhichun and Ma, Yihong and Metoyer, Ronald and Chawla, Nitesh V.},
title = {Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks},
booktitle = {IJCAI},
year = {2022}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent