Knowledge-aware graph neural networks with label smoothness regularization for recommender systems
Knowledge graphs capture structured information and relations between a set of entities or
items. As such knowledge graphs represent an attractive source of information that could …
items. As such knowledge graphs represent an attractive source of information that could …
A marine microbiome antifungal targets urgent-threat drug-resistant fungi
New antifungal drugs are urgently needed to address the emergence and transcontinental
spread of fungal infectious diseases, such as pandrug-resistant Candida auris. Leveraging …
spread of fungal infectious diseases, such as pandrug-resistant Candida auris. Leveraging …
Mechanical and energy absorption characteristics of additively manufactured functionally graded sheet lattice structures with minimal surfaces
Functionally graded (FG) lattice structures have attracted attention for their potential
application in lightweighting and energy absorption. In this study, functionally graded sheet (FGS) …
application in lightweighting and energy absorption. In this study, functionally graded sheet (FGS) …
Sheet and network based functionally graded lattice structures manufactured by selective laser melting: Design, mechanical properties, and simulation
The triply periodic minimal surfaces (TPMS) have caught a lot of attention to many applications
recently such as biomaterials, lightweight components with high strength and functionally …
recently such as biomaterials, lightweight components with high strength and functionally …
[HTML][HTML] Cathepsin L plays a key role in SARS-CoV-2 infection in humans and humanized mice and is a promising target for new drug development
MM Zhao, WL Yang, FY Yang, L Zhang… - Signal transduction and …, 2021 - nature.com
To discover new drugs to combat COVID-19, an understanding of the molecular basis of
SARS-CoV-2 infection is urgently needed. Here, for the first time, we report the crucial role of …
SARS-CoV-2 infection is urgently needed. Here, for the first time, we report the crucial role of …
Ripplenet: Propagating user preferences on the knowledge graph for recommender systems
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …
make use of side information, such as social networks or item attributes, to improve …
Knowledge graph convolutional networks for recommender systems
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …
systems, researchers and engineers usually collect attributes of users and items, and design …
Graphgan: Graph representation learning with generative adversarial nets
The goal of graph representation learning is to embed each vertex in a graph into a low-dimensional
vector space. Existing graph representation learning methods can be classified into …
vector space. Existing graph representation learning methods can be classified into …
Multi-task feature learning for knowledge graph enhanced recommendation
Collaborative filtering often suffers from sparsity and cold start problems in real recommendation
scenarios, therefore, researchers and engineers usually use side information to …
scenarios, therefore, researchers and engineers usually use side information to …
Multichannel retailing: A case study of early experiences
RR Dholakia, M Zhao, N Dholakia - Journal of interactive marketing, 2005 - Elsevier
As retailers offer multiple channels in response to competitive pressures, switching costs
incurred by both retailers and consumers will shape the evolution of retailing channels. In this …
incurred by both retailers and consumers will shape the evolution of retailing channels. In this …