Abstract: As data scales continue to expand, graph structures are widely applied across multiple domains due to their effective organization of complex data. Graph Pattern Matching (GPM) is a ...

Abstract: A fundamental operation on large graphs is the search of occurrences of a given pattern in the graph. Like [1], we consider an original graph OG and a query pattern Q of labeled nodes and ...

This project is an open source implementation of the graph convolutional neural network for classification of building group patterns using spatial vector data. The initial aim of our work is to ...

% The code is running for thermography pattern analysis % If you use this code please cite this paper % % Bin Gao, Libing Bai, Gui Yun Tian, W.L. Woo, Yuhua Cheng “Automatic Defect Identifcation of ...

What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...

Universidade Federal de Minas Gerais, Computer Science Department, 31270-901 Belo Horizonte, Brazil and Université Paris-Est, ESIEE Paris, F-93162 Noisy-le-Grand, France ...