A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...

The Netflix film’s song, “Golden,” just hit No. 1 on Spotify’s Daily Top Songs Global Chart and earned seven entries on this week’s Billboard Hot 100.

Specifically, the proposed scGANSL method first constructs two views using highly variable genes (HVGs) screening and principal component analysis (PCA). They are then individually fed into a ...

We previously introduced a “range corrected” Δ−machine learning potential (ΔMLP) that used deep neural networks to improve the accuracy of combined quantum mechanical/molecular mechanical (QM/MM) ...

Specifically, the IHGCL framework includes: i) a meta-path-based Dual Contrastive Learning (DCL) approach to effectively integrate intents into the recommendation, constructing intent-intent contrast ...

Contrastive Learning (CL)-based recommender systems have gained prominence in the context of Heterogeneous Graph (HG) due to their capacity to enhance the consistency of representations across ...

graph link-prediction subgraph self-supervised-learning node-embedding graph-auto-encoder contrastive-learning Updated on May 30, 2023 Python ...

AEGAE: Attribute-Embedded Graph Autoencoder This repository provides the implementation of the AEGAE method for community detection in attributed graphs. AEGAE integrates Laplacian regularization and ...