Results 121 to 130 of about 8,080,419 (296)

Combining Syntactic Enhancement with Graph Attention Networks for Aspect-based Sentiment Classification [PDF]

Jisuanji kexue
Aspect-level sentiment classification aims to identify the emotional polarity of a given aspect text.In this field,the combination of graph neural network and syntactic dependency parsing is one of the current hot research directions.Based on the ...
ZHANG Zebao, YU Hannan, WANG Yong, PAN Haiwei
doaj   +1 more source

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

Arthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi, Amar Dhand, Leah Santacroce, Neil Pillai, Komel Safdar, Mia T. Chandler, Ariel Childs, Monica Crespo‐Bosque, Gina Curry, Mary Dollear, Alice Eggleston, Daniel Erickson, Dieufort Fleurissaint, Denice Garrett, Gail Granville, Tyler Green, Magdalena Hamielec, Elena Losina, Karen Mancera‐Cuevas, Mary Ann Nelson, Chisa Nosamiefan, Bisola Ojikutu, Tonya S. Roberson, Mary Beth Son, Marie Jacques Toussaint, Michael York, Rosalind Ramsey‐Goldman, Candace H. Feldman   +27 more
wiley   +1 more source

Spiking Heterogeneous Graph Attention Networks

Proceedings of the AAAI Conference on Artificial Intelligence
Real-world graphs or networks are usually heterogeneous, involving multiple types of nodes and relationships. Heterogeneous graph neural networks (HGNNs) can effectively handle these diverse nodes and edges, capturing heterogeneous information within the graph, thus exhibiting outstanding performance.
Buqing Cao, Qian Peng, Xiang Xie, Liang Chen 0001, Min Shi 0001, Jianxun Liu 0001   +5 more
openaire   +2 more sources

CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph [PDF]

Local Attention-guided Message Passing Mechanism (LAMP) adopted in Graph Attention Networks (GATs) is designed to adaptively learn the importance of neighboring nodes for better local aggregation on the graph, which can bring the representations of ...
Zhao, Ling, He, Silu, Du, Ronghua, Luo, Qinyao, Li, Haifeng, Fu, Xinsha   +5 more
core   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi, Roberta A. Berard, Jean‐Philippe Proulx‐Gauthier, Heinrike Schmeling, Michelle Batthish, Gilles Boire, Adam M. Huber, Dax G. Rumsey, Jaime Guzman, Gaëlle Chédeville, The CAPRI registry Investigators   +10 more
wiley   +1 more source

Graph contextualized self-attention network for session-based recommendation

, 2019
Session-based recommendation, which aims to predict the user's immediate next action based on anonymous sessions, is a key task in many online services (e.g., e-commerce, media streaming).
Xu, Chengfeng, Sheng, Victor S., Fang, Junhua, Xu, Jiajie, Fuzhen Zhuang, Zhao, Pengpeng, Zhou, Xiaofang, Jiajie Xu, Junhua Fang, Zhuang, Fuzhen, Yanchi Liu, Liu, Yanchi, Xiaofang Zhou, Victor S. Sheng, Pengpeng Zhao, Chengfeng Xu   +15 more
core   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

Financial Anti-Fraud Based on Dual-Channel Graph Attention Network

Journal of Theoretical and Applied Electronic Commerce Research
This article addresses the pervasive issue of fraud in financial transactions by introducing the Graph Attention Network (GAN) into graph neural networks.
Sizheng Wei, Suan Lee
doaj   +1 more source

Efficient Graph Generation with Graph Recurrent Attention Networks

CoRR, 2019
We propose a new family of efficient and expressive deep generative models of graphs, called Graph Recurrent Attention Networks (GRANs). Our model generates graphs one block of nodes and associated edges at a time. The block size and sampling stride allow us to trade off sample quality for efficiency.
Renjie Liao 0001, Yujia Li 0001, Yang Song 0011, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel   +8 more
openaire   +2 more sources

Neighbor Overlay-Induced Graph Attention Network [PDF]

Graph neural networks (GNNs) have garnered significant attention due to their ability to represent graph data. Among various GNN variants, graph attention network (GAT) stands out since it is able to dynamically learn the importance of different nodes ...
Yuan, Ye, Wei, Tiqiao
core