Abstract: Contrastive learning has emerged as a prominent approach in Heterogeneous Graph Neural Network (HGNN)-based recommender systems, exhibiting particular efficacy in addressing the sparsity ...

To address this issue, we introduce a novel MDA prediction method named MVCL-MDA, based on heterogeneous graph meta-path views and network structure view for graph contrastive learning. This ...

[ArXiv 2023] Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective [ECML-PKDD 2023]CoSP: Co-supervised pretraining of pocket and ligand ...