Improving graph collaborative filtering with neighborhood-enriched contrastive learning
Recently, graph collaborative filtering methods have been proposed as an effective
recommendation approach, which can capture users’ preference over items by modeling the user-…
recommendation approach, which can capture users’ preference over items by modeling the user-…
Large language models are zero-shot rankers for recommender systems
Recently, large language models (LLMs) (eg, GPT-4) have demonstrated impressive
general-purpose task-solving abilities, including the potential to approach recommendation tasks. …
general-purpose task-solving abilities, including the potential to approach recommendation tasks. …
Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms
In recent years, there are a large number of recommendation algorithms proposed in the
literature, from traditional collaborative filtering to deep learning algorithms. However, the …
literature, from traditional collaborative filtering to deep learning algorithms. However, the …
Recbole 2.0: Towards a more up-to-date recommendation library
In order to support the study of recent advances in recommender systems, this paper presents
an extended recommendation library consisting of eight packages for up-to-date topics …
an extended recommendation library consisting of eight packages for up-to-date topics …
Phase and morphology evolution of high dielectric CoO/Co3O4 particles with Co3O4 nanoneedles on surface for excellent microwave absorption application
XB Xie, C Ni, Z Lin, D Wu, X Sun, Y Zhang… - Chemical Engineering …, 2020 - Elsevier
Novel dual phased CoO/Co 3 O 4 particles with Co 3 O 4 nanoneedles on surface are obtained
by annealing dual-phased Co (hexagonal and cubic phases) particles. Their phase and …
by annealing dual-phased Co (hexagonal and cubic phases) particles. Their phase and …
Co-delivery of bee venom melittin and a photosensitizer with an organic–inorganic hybrid nanocarrier for photodynamic therapy and immunotherapy
H Liu, Y Hu, Y Sun, C Wan, Z Zhang, X Dai, Z Lin… - ACS …, 2019 - ACS Publications
Photodynamic therapy (PDT) is a clinical cancer treatment modality based on the induction
of therapeutic reactive oxygen species (ROS), which can trigger immunogenic cell death (ICD…
of therapeutic reactive oxygen species (ROS), which can trigger immunogenic cell death (ICD…
Single-atom iron containing nanozyme with peroxidase-like activity and copper nanoclusters based ratio fluorescent strategy for acetylcholinesterase activity sensing
M Wang, L Liu, X Xie, X Zhou, Z Lin, X Su - Sensors and actuators B …, 2020 - Elsevier
Single-atom nanozymes (SAzymes) have attracted extensive interests in bio-catalysis filed
because of their robustness, excellent catalytic activity and unique feature of maximum atomic …
because of their robustness, excellent catalytic activity and unique feature of maximum atomic …
[HTML][HTML] Pharmacological activity of quercetin: an updated review
…, Y Wang, L Yao, W Gu, S Zhao, Z Shen, Z Lin… - Evidence-Based …, 2022 - hindawi.com
Quercetin, a natural flavonoid compound with a widespread occurrence throughout the plant
kingdom, exhibits a variety of pharmacological activities. Because of the wide spectrum of …
kingdom, exhibits a variety of pharmacological activities. Because of the wide spectrum of …
Machine-learning the skill of mutual fund managers
We show, using machine learning, that fund characteristics can consistently differentiate high
from low-performing mutual funds, before and after fees. The outperformance persists for …
from low-performing mutual funds, before and after fees. The outperformance persists for …
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms
In recommender systems, top-N recommendation is an important task with implicit feedback
data. Although the recent success of deep learning largely pushes forward the research on …
data. Although the recent success of deep learning largely pushes forward the research on …
