Memory-based Temporal Graph Neural Networks (MTGNNs) are a class of temporal graph
neural networks that utilize a node memory module to capture and retain long-term temporal …

Nowadays, concurrent programs are an inevitable part of many software applications. They
can increase the computation performance of the applications by parallelizing their …

Push notification is a mechanism that allows individuals to receive updated information
quickly. Push notification delivery needs to be effectived and has to be paid attention to time …

When collecting user power situation at the edge side, the collected data may be
backlogged at the edge side due to the information processing capability of the collection …

Temporal graph neural networks (TGNNs) have demonstrated exceptional performance in
modeling interactions on dynamic graphs. However, the adoption of memory modules in …

When collecting user power situation at the edge side, the collected data may be
backlogged at the edge side due to the information processing capability of the collection …

The present master thesis investigates optimization strategies for a critical software
framework developed at the European Organization for Nuclear Research (CERN) …

Distributed computing allows effective data storage, processing and retrieval but it poses
security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since …

Parallel architecture and software by workflow Petri nets Page 1 Proceedings of Workshop on
Intelligent Information Systems WIIS2020, December 04-05, 2020, Chisinau, Republic of …

Աշխատանքի արդիականությունը: Էլեկտրոնային փոստի հիմքում ավանդական
փոստային ծառայությունն է: Այն հանդիսանում է տիպիկ փոստային «ց պահանջ» …