C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of Semiconductor Quantum Dots

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...
english.newsnationtv

6G rollout will depend on complete utilisation of 5G use cases: Manoj Kumar Singh, DG Digital Networks

New Delhi [India], October 10 (ANI): While India has made significant progress in rolling out 5G services, the next generation technology 6G, will only make sense when 5G use cases are fully saturated ...
IEEE

Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization

Abstract: Graph convolutional networks (GCNs) have emerged as powerful models for graph learning tasks, exhibiting promising performance in various domains. While their empirical success is evident, ...
IEEE

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...