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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Invited Talk at Tartu University
Published:
Essam was invited to deliver a talk on “A Data Discovery Platform Empowered by Knowledge Graph Technologies: Challenges and Opportunities” at the Data Science seminar (Tartu University).
KGNet demo at ISWC
Published:
Hussein Abdallah, Duc Nguyen, Kien Nguyen, Essam Mansour: Demonstration of KGNet: a Cognitive Knowledge Graph Platform. International Semantic Web Conference (ISWC) 2021.
KGQAn demo at ISWC
Published:
Reham Omar, Ishika Dhall, Nadia Sheikh, Essam Mansour: A Knowledge Graph Question-Answering Platform Trained Independently of the Graph. International Semantic Web Conference (ISWC) 2021.
Invited talk at SEA-Data@VLDB
Published:
Essam Mansour: A Data Discovery Platform Empowered by Knowledge GraphTechnologies: Challenges and Opportunities. SEA-Data@VLDB 2021: 46-47.
KGLac demo at VLDB
Published:
Ahmed Helal, Mossad Helali, Khaled Ammar, Essam Mansour: A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science. Proc. VLDB Endow. 14(12): 2675-2678 (2021).
members
Essam Mansour
Principal investigator (PI)
Mossad Helali
PhD Student
Reham Omar
PhD Student
Hussein Abdallah
PhD Student
Ishika Dhall
Master Student
Shubham Vashisth
Master Student
Ahmed Amer Aly
Master Student
Farbod Farhour
Master Student
Philippe Carrier
Undergrad Student
Yasaman Sabbagh
Undergrad Student
Ahmed Helal
Alumni - Master Student
news
Opening for Postdoc and PhD Students
Published:
We are hiring Postdocs and PhD Students!
Invited Talk at Montreal University
Published:
Towards Cognitive Data Science Platforms: Challenges and Opportunities
Invited Talk at IVADO
Published:
Towards Cognitive Data Science Platforms: Challenges and Opportunities
projects
KGLiDS: Linked Data Science
KGLiDS is a knowledge graph-based platform for linked data science.
KGQAn: A Data Science Chat Assistant Platform
KGQAn aims to develop a data science chatbot that can answer questions from different knowledge graphs without prior knowledge of the graphs. We are developing KGQAn as a chat assistant that guides data scientists to easily explore data science projects’ findings.
KGNet: KG Neural Network Query Engine
KGNet aims to develop an embedding as a service (EaaS) that can extend different RDF engines to support various embedding techniques. EaaS is a step forward to extend RDF engines to support embedding-based operators to explore better KGs based on semantics and classification models.
KGpip: A Scalable AutoML Approach Based on GNN
KGpip is scalable AutoML approach based on a novel formulation for the AutoML problem as a graph generation problem. In KGpip, we train a novel meta-learning on top of of our knowledge graph for linked data science to pose learner and pre-processing selection as a generation of different graphs representing ML pipelines. For more information, please read our KGpip paper
AlphaBot: Improving Chatbots for Code Repositories
AlphaBot is a weak supervision-based approach to improve chatbots for code repositories. We evaluate AlphaBot using a dataset that composes of 749 queries representing 52 intents. Our results show that AlphaBot helps chatbot practitioners to boost the NLU’s performance at early releases of their chatbots (i.e., fewer training queries). In particular, we find that our approach increases the NLU’s performance up to 44% compared to the baseline. Also, the results show that AlphaBot annotates, on average, 99% of queries correctly.
KGFeat: Feature Discovery Store for Data Science
This project aims at developing a feature store for data science projects. Discovering features is one of the applications on top of our knowledge graph for linked data science.
KGAPT: an APT Detection Approach based on GNN
This project aims at developing a platform for detecting advanced persistent threats (APT) based on knowledge graph technologies. Our approach utilizes graph neural network and semantic graph similarity to detect attack scenarios in a provenance graph of network logs.
KG-DAL: Automatic Annotation for KG related tasks
This project aims at developing a deep active learning platform for triple extraction tasks from the English text. Our platform automates the dataset annotation process required for training models for question understanding or knowledge graph construction.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.