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pro vyhledávání: '"Mansour, Essam"'
A Knowledge Graph (KG) is a heterogeneous graph encompassing a diverse range of node and edge types. Heterogeneous Graph Neural Networks (HGNNs) are popular for training machine learning tasks like node classification and link prediction on KGs. Howe
Externí odkaz:
http://arxiv.org/abs/2403.05752
Autor:
Helali, Mossad, Monjazeb, Niki, Vashisth, Shubham, Carrier, Philippe, Helal, Ahmed, Cavalcante, Antonio, Ammar, Khaled, Hose, Katja, Mansour, Essam
In recent years, we have witnessed the growing interest from academia and industry in applying data science technologies to analyze large amounts of data. In this process, a myriad of artifacts (datasets, pipeline scripts, etc.) are created. However,
Externí odkaz:
http://arxiv.org/abs/2303.02204
Autor:
Abdallah, Hussein, Mansour, Essam
This vision paper proposes KGNet, an on-demand graph machine learning (GML) as a service on top of RDF engines to support GML-enabled SPARQL queries. KGNet automates the training of GML models on a KG by identifying a task-specific subgraph. This hel
Externí odkaz:
http://arxiv.org/abs/2303.02166
Knowledge from diverse application domains is organized as knowledge graphs (KGs) that are stored in RDF engines accessible in the web via SPARQL endpoints. Expressing a well-formed SPARQL query requires information about the graph structure and the
Externí odkaz:
http://arxiv.org/abs/2303.00595
Conversational AI and Question-Answering systems (QASs) for knowledge graphs (KGs) are both emerging research areas: they empower users with natural language interfaces for extracting information easily and effectively. Conversational AI simulates co
Externí odkaz:
http://arxiv.org/abs/2302.06466
Autor:
Zhao, Wenting, Abdelaziz, Ibrahim, Dolby, Julian, Srinivas, Kavitha, Helali, Mossad, Mansour, Essam
Dynamically typed languages such as Python have become very popular. Among other strengths, Python's dynamic nature and its straightforward linking to native code have made it the de-facto language for many research areas such as Artificial Intellige
Externí odkaz:
http://arxiv.org/abs/2301.05108
Similar to Open Data initiatives, data science as a community has launched initiatives for sharing not only data but entire pipelines, derivatives, artifacts, etc. (Open Data Science). However, the few efforts that exist focus on the technical part o
Externí odkaz:
http://arxiv.org/abs/2111.13186
AutoML systems build machine learning models automatically by performing a search over valid data transformations and learners, along with hyper-parameter optimization for each learner. Many AutoML systems use meta-learning to guide search for optima
Externí odkaz:
http://arxiv.org/abs/2111.00083
Publikováno v:
Online Information Review, 2022, Vol. 47, Issue 3, pp. 469-485.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OIR-08-2020-0350
Autor:
Mansour, Essam
Publikováno v:
Library Hi Tech, 2021, Vol. 40, Issue 6, pp. 1819-1842.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LHT-03-2021-0084