This repository provides a Pytorch implementation of FlavorGraph2Vec, trained on FlavorGraph, a large-scale food ingredient/chemical compound network of 8K nodes and 147K edges.

Jan 13, 2021 · We introduce FlavorGraph which is a large-scale food graph by relations extracted from million food recipes and information of 1,561 flavor molecules from food databases.

Apr 22, 2021 · Dubbed FlavorGraph, the graph embedding model was trained on a million recipes and chemical structure data from more than 1,500 flavor molecules. The researchers used …

Jun 3, 2020 · Easy way to interact with and analyze matrix data. The above image (created in jupyterlab) shows over 7,000 dessert recipe flavor pairings. Outer rim sizes get larger the more …

Mar 22, 2023 · In this blog post, we’ll go through the steps of building a GNN-based model for predicting new edges between ingredients in a flavorgraph. We’ll start by exploring the …

Dec 10, 2024 · In this work we present FlavorMiner, an ML-based multilabel flavor predictor. FlavorMiner seamlessly integrates different combinations of algorithms and mathematical …

FlavorGraph is a Python web application designed to help users discover and search for recipes based on the ingredients they have on hand. The application provides a user-friendly interface …

Mar 15, 2023 · SciML in computational chemistry has opened paths in the compound’s property prediction without requiring synthesis. This work proposes a novel framework of deep …

Apr 19, 2021 · After Google's AI went up against a Great British Bake Off winner, Sony has developed a deep learning system called FlavorGraph designed to pair up ingredients like …

We introduce FlavorGraph which is a large‐scale food graph by relations extracted from million food recipes and information of 1,561 flavor molecules from food databases. We analyze the …