For the current study, the research team developed a GNN-based model. The architecture of the GNN, such as the number of layers and how they are connected, determines how well the model can learn and ...

We selected several comparative methods for our evaluation, including MLP, SVM, GNN, B-GNN, HGNN, and HGNNP. • MLP (24): MLP is a class of feedforward artificial neural networks consisting of multiple ...

However, ViT’s multi-head self-attention (MHSA) mechanism often struggles to balance local details and long-range relationships for complex high-dimensional data, leading to a loss in spectral-spatial ...

For the current study, the research team developed a GNN-based model. The architecture of the GNN, such as the number of layers and how they are connected, determines how well the model can learn and ...

GNN designs usually necessitate the homophily hypothesis of the graph, which easily fails on heterophilous graphs. In this paper, we propose the random walk extension for those message-passing based ...

Spectral cards like Medium and Wraith offer unique benefits, impacting gameplay strategically. Powerful cards like Black Hole upgrade all poker hands, significantly boosting scoring potential ...

ECDFormer exhibits commendable interpretability due to its attribute prediction for spectral peak disentanglement. To elucidate the process of how ECDFormer generates spectra, we employed the ...

Note: preprocessing is turned off in all experiment in our main paper. All shaDow-GNN are trained in the minibatch fashion. For each training batch, we first perform subgraph extraction, and then ...