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Ralph Abboud

Current Work. I am a Program Scientist at Renaissance Philanthropy (RenPhil), leading AI work in the organization’s AI for Math and AI for Education portfolios.

Previous Roles. Before joining RenPhil, I worked at the Learning Engineering Virtual Institute (now also housed at Renaissance), initially at Schmidt Futures, then at the Digital Harbor Foundation. Previously, I completed a D.Phil in Computer Science from the University of Oxford under the supervision of Dr. İsmail İlkan Ceylan and Prof. Thomas Lukasiewicz, with my research focusing on graph representation learning (GRL).

Contact. For professional inquiries (e.g., consulting, collaboration, research) and for personal queries, please reach me at ralph {at} ralphabb.ai.

News

Selected Publications

PlanE: Representational Learning over Planar Graphs, NeurIPS 2023.
Radoslav Dimitrov , Zeyang Zhao , Ralph Abboud , İsmail İlkan Ceylan
Shortest Path Networks for Graph Property Prediction, LoG 2022.
Ralph Abboud , Radoslav Dimitrov , İsmail İlkan Ceylan
Approximate Weighted Model Integration on DNF Structures, AIJ 2022.
Ralph Abboud , İsmail İlkan Ceylan , Radoslav Dimitrov
The Surprising Power of Graph Neural Networks with Random Node Initialization, IJCAI 2021.
Ralph Abboud , İsmail İlkan Ceylan , Martin Grohe , Thomas Lukasiewicz
BoxE: A Box Embedding Model for Knowledge Base Completion, NeurIPS 2020.
Ralph Abboud , İsmail İlkan Ceylan , Thomas Lukasiewicz , Tommaso Salvatori
For a complete list of my publications, please check my DBLP and Google Scholar profiles.

Education

D.Phil in Computer Science
2018 - 2022
University of Oxford
Thesis Title: Learning and Inference over Relational Data
M.Sc. in Computer Science
2017 - 2018
University of Oxford
B.E. in Computer Engineering
2013 - 2017
Lebanese American University (LAU) , Minor: Mathematics