Results 131 to 140 of about 6,341,676 (193)

Table Structure Recognition via Multimodality and Graph Attention Networks

物联网学报
Tables, as a highly condensed and structured form of information presentation, are ubiquitous across documents and images. Accurate table structure recognition is a critical step in converting unstructured visual data into machine-interpretable ...
XU Chongshan, WU Lv, XU Ning, LI Ning, PAN Hao   +4 more
doaj  

Clustered Federated Spatio-Temporal Graph Attention Networks for Skeleton-Based Action Recognition. [PDF]

Sensors (Basel)
Yu T, Pinto S, Gomes T, Tavares A, Xu H.
europepmc   +1 more source

Graph attention networks-based prediction of MicroRNA-disease causality in head and neck neoplasms. [PDF]

Sci Rep
Yadalam PK, Ayyachamy S, Natarajan PM, Ardila CM.   +3 more
europepmc   +1 more source

KnvResGAT: SARS-CoV-2 sequence classification using k-mer natural vector and graph attention networks. [PDF]

BMC Res Notes
Yu W, Deng Y, Li Z, Dong W.
europepmc   +1 more source

Context-aware gene dependency modeling via graph attention networks for precision oncology. [PDF]

J Transl Med
Yu G, Gong Y, Fan B, Gao J, Fan Q.
europepmc   +1 more source

Hybrid optimization-based quantum-driven multi-relational graph attention networks for enhanced cyber attack detection in medical IoT networks. [PDF]

Sci Rep
Krishna Kumari R, Komala CR, Afreen Banu E, Sivaramkrishnan M, Siva Ramkumar M, Sekar K, Muzammil K, Islam S, Zewdie A.   +8 more
europepmc   +1 more source

Cross-language hotel review sentiment analysis via multi-agent federated learning with heterogeneous graph attention networks. [PDF]

Sci Rep
Han X.
europepmc   +1 more source

Graph Attention Networks for Accurate and Explainable Prediction of CO₂ Solubility in Diverse Physical Solvents. [PDF]

Precis Chem
Bao C, Fan Z, Zhang C, Zhang Z.
europepmc   +1 more source

TCMRGAT: Relational graph attention networks for predicting stroke treatment efficacy of traditional Chinese medicine prescriptions. [PDF]

Front Pharmacol
Cheng N, Ding C, Song X.
europepmc   +1 more source

Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings. [PDF]

IEEE Open J Eng Med Biol
Mazurek S, Moore S, Crimi A.
europepmc   +1 more source