User profiles for Hongwei Wang
 | Hongwei WangSenior Researcher, Tencent AI Lab Seattle Verified email at tencent.com Cited by 7611 |
DKN: Deep knowledge-aware network for news recommendation
Online news recommender systems aim to address the information explosion of news and
make personalized recommendation for users. In general, news language is highly …
make personalized recommendation for users. In general, news language is highly …
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 …
Learning graph representation with generative adversarial nets
Graph representation learning aims to embed each vertex in a graph into a low-dimensional
vector space. Existing graph representation learning methods can be classified into two …
vector space. Existing graph representation learning methods can be classified into two …
[HTML][HTML] A qualitative study on the psychological experience of caregivers of COVID-19 patients
…, R Song, L Ma, H Wang, C Wang, Z Wang… - American journal of …, 2020 - Elsevier
Background The coronavirus disease 2019 (COVID-19) is spreading rapidly, bringing pressure
and challenges to nursing staff. Objective To explore the psychology of nurses caring for …
and challenges to nursing staff. Objective To explore the psychology of nurses caring for …
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 …
LDL receptor-related protein 5 (LRP5) affects bone accrual and eye development
…, G Rawadi, S Roman-Roman, AM Reginato, H Wang… - Cell, 2001 - cell.com
In humans, low peak bone mass is a significant risk factor for osteoporosis. We report that
LRP5, encoding the low-density lipoprotein receptor-related protein 5, affects bone mass …
LRP5, encoding the low-density lipoprotein receptor-related protein 5, affects bone mass …
Horizontal gene transfer of Fhb7 from fungus underlies Fusarium head blight resistance in wheat
INTRODUCTION Fusarium head blight (FHB) is a fungal disease that devastates global wheat
production, with losses of billions of dollars annually. Unlike foliar diseases, FHB occurs …
production, with losses of billions of dollars annually. Unlike foliar diseases, FHB occurs …
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 …
Alleviating cancer drug toxicity by inhibiting a bacterial enzyme
BD Wallace, H Wang, KT Lane, JE Scott, J Orans… - Science, 2010 - science.org
The dose-limiting side effect of the common colon cancer chemotherapeutic CPT-11 is severe
diarrhea caused by symbiotic bacterial β-glucuronidases that reactivate the drug in the gut…
diarrhea caused by symbiotic bacterial β-glucuronidases that reactivate the drug in the gut…