Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
The eigenvalue problem for the p‐Laplacian‐like equations [PDF]
Zu-Chi Chen, Tao Luo
openalex +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Extracting robust single-trial somatosensory evoked potentials for non-invasive brain computer interfaces. [PDF]
Gupta D +4 more
europepmc +1 more source
Existence and nonexistence results for quasilinear elliptic equations involving the p-Laplacian with a critical potential [PDF]
Boumediene Abdellaoui, Ireneo Peral
openalex +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Deng H, Wu T.
europepmc +1 more source
Two generalized Lyapunov-type inequalities for a fractional p-Laplacian equation with fractional boundary conditions. [PDF]
Liu Y, Xie D, Yang D, Bai C, Bai C.
europepmc +1 more source
On a Reverse Estimate for Hodge Decompositions of p-Laplacian Type Operators
Baisheng Yan
openalex +1 more source

