An overview on generative AI at scale with Edge-Cloud Computing

YC Wang, J Xue, C Wei… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …

Efficient GAN-based method for extractive summarization

SV Moravvej, MJ Maleki Kahaki… - Journal of Electrical …, 2022 - jecei.sru.ac.ir
Background and Objectives: Text summarization plays an essential role in reducing time
and cost in many domains such as medicine, engineering, etc. On the other hand, manual …

[PDF][PDF] Knowledge graph exploration systems: are we lost?

M Lissandrini, D Mottin, K Hose… - Annual Conference on …, 2022 - vbn.aau.dk
Knowledge graphs (KGs) represent facts in the form of nodes and relationships and are
widely used to represent and share knowledge in many different domains. However, their …

FREDE: anytime graph embeddings

A Tsitsulin, M Munkhoeva, D Mottin, P Karras… - arxiv preprint arxiv …, 2020 - arxiv.org
Low-dimensional representations, or embeddings, of a graph's nodes facilitate several
practical data science and data engineering tasks. As such embeddings rely, explicitly or …

[PDF][PDF] Constructing product usage context knowledge graph using user-generated content for user-driven customization

A Liu, S Kara - Journal of Mechanical Design, 2023 - researchgate.net
User-driven customization is a particular design paradigm where customers act as co-
designers to configure products based on their needs. However, due to insufficient product …

What is normal, what is strange, and what is missing in a knowledge graph: Unified characterization via inductive summarization

C Belth, X Zheng, J Vreeken, D Koutra - Proceedings of The Web …, 2020 - dl.acm.org
Knowledge graphs (KGs) store highly heterogeneous information about the world in the
structure of a graph, and are useful for tasks such as question answering and reasoning …

Summer: Structural summarization for RDF/S kgs

GE Trouli, A Pappas, G Troullinou, L Koumakis… - Algorithms, 2022 - mdpi.com
Knowledge graphs are becoming more and more prevalent on the web, ranging from small
taxonomies, to large knowledge bases containing a vast amount of information. To construct …

Personal knowledge graphs: Use cases in e-learning platforms

E Ilkou - Companion Proceedings of the Web Conference 2022, 2022 - dl.acm.org
Personal Knowledge Graphs (PKGs) are introduced by the semantic web community as
small-sized user-centric knowledge graphs (KGs). PKGs fill the gap of personalised …