The teenager was researching the Miura-ori fold when Hurricane Helene made landfall in Florida and wildfires raged in Southern California. “I thought maybe these origami patterns, which are strong and ...

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

ISC Class 12 English has 2 papers: Language & Literature, each 80 marks theory + 20 internal. The English Language paper (2025-26) requires answering 4 compulsory questions. Effective time management ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

Abstract: Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG ...

Abstract: This paper proposes a blind detection problem for low pass graph signals. Without assuming knowledge of the exact graph topology, we aim to detect if a set of graph signal observations are ...