Results 231 to 240 of about 115,711 (260)

Spatiotemporal prediction of water quality and ecological risk assessment in a river basin using T-GCN based on river network topology constraints. [PDF]

Sci Rep
Li L.
europepmc   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Enhancing drug-target interaction prediction with graph representation learning and knowledge-based regularization. [PDF]

Front Bioinform
Yao Q, Chen Z, Cao Y, Hu H.
europepmc   +1 more source

An integrated graph neural network model for joint software defect prediction and code quality assessment. [PDF]

Sci Rep
Dai P, Zhu H, Wu J, He H.
europepmc   +1 more source

Breaking barriers in ICD classification with a robust graph neural network for hierarchical coding. [PDF]

Sci Rep
Xi S, Shi J, Yan J, Lin M, Zhou X, Cheng Y, Ding H, Kang CC.   +7 more
europepmc   +1 more source

Internet fraud transaction detection based on temporal-aware heterogeneous graph oversampling and attention fusion network. [PDF]

PLoS One
Wei S, Lee S.
europepmc   +1 more source

A novel fault diagnosis method based on EEWT-EWLTSA and improved deep ELM. [PDF]

Sci Rep
Yang J, Xu A.
europepmc   +1 more source

DDI-AttendNet: cross attention with structured graph learning for inter-drug connectivity analysis. [PDF]

Front Pharmacol
Wang J, Du H, Li Y.
europepmc   +1 more source

Tree-based ensemble learning models for protein-protein interactions detection: a review and experimental evaluation. [PDF]

BioData Min
Taha K.
europepmc   +1 more source