IEEE

Graph Neural Networks With Interaction-Aware View Fusion for Graph Classification

Abstract: Graph neural networks (GNNs) have demonstrated outstanding performance in graph classification tasks. Most existing GNNs designed for graph classification adopt a structure that combines ...
Frontiers

Soil density impact on soil-water characteristic curve and pore-size distribution

In the context of climate change and urban expansion, understanding unsaturated soil behavior is critical for designing resilient infrastructure. Soil moisture retention influences stormwater ...
IEEE

Density-Guided Rank Correlation Graphs for Graph Convolutional Networks in Image Classification

Abstract: Graph Convolutional Networks (GCNs) have shown promising results in semi-supervised learning tasks, yet their effectiveness is highly dependent on the quality of the input graph. In image ...
GitHub

Missing-Modality-Aware Graph Neural Network for Cancer Classification

MAGNET is implemented in Python 3.10 and is supported on both Linux and Windows. It should work on any operating system that supports Python. The implementation has been tested on both GPU and CPU ...
GitHub

[Question] graph-example执行时会报NPE

http://localhost:18080/manus/chat?query=帮我将李白的《将进酒》全文写入到F:%2FTest目录下的将进酒.txt文件中 进行测试时，example ...
WROC-TV

Argo Living Soils Corp. Announces Research and Development Agreement with Graphene Leaders Canada Inc. to Advance Graphene Concrete Solutions

VANCOUVER, British Columbia, May 05, 2025 (GLOBE NEWSWIRE) -- Argo Living Soils Corp. (CSE: ARGO) (OTCQB: ARLSF) (FSE: 94Y0) ("Argo" or the "Company") is pleased to announce it has entered into a ...
C&EN

Discovery of Spin-Crossover Materials with Equivariant Graph Neural Networks and Relevance-Based Classification

Department of Physics, University of Florida, Gainesville, Florida 32611, United States Center for Molecular Magnetic Quantum Materials, Gainesville, Florida 32611, United States Center for Molecular ...