Search Results for author: Laurence Yang

Found 2 papers, 2 papers with code

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs

1 code implementation29 Oct 2020 Hao Xu, Shengqi Sang, Peizhen Bai, Laurence Yang, Haiping Lu

Heterogeneous graph representation learning aims to learn low-dimensional vector representations of different types of entities and relations to empower downstream tasks.

Graph Representation Learning Link Prediction +1

Estimating Cellular Goals from High-Dimensional Biological Data

1 code implementation11 Jul 2018 Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson, José Bento

The latter approach is important because often the known/observed biochemical reactions are not enough to explain observations, and hence there is a need to extend automatically the model complexity by learning new chemical reactions.

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