Ralph Abboud
Scholar

Ralph Abboud

Google Scholar ID: KBiHfLQAAAAJ
Learning Engineering Virtual Institute
Artificial IntelligenceDeep LearningGraph Neural NetworksNode Embedding Models
Citations & Impact
All-time
Citations
1,011
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Selected Publications:
  • - PlanE: Representational Learning over Planar Graphs, NeurIPS 2023
  • - Shortest Path Networks for Graph Property Prediction, LoG 2022
  • - Approximate Weighted Model Integration on DNF Structures, AIJ 2022
  • - The Surprising Power of Graph Neural Networks with Random Node Initialization, IJCAI 2021
  • - BoxE: A Box Embedding Model for Knowledge Base Completion, NeurIPS 2020
  • Awards:
  • - Outstanding reviewer at ICML 2025
Research Experience
  • Current Position: Program Scientist at Renaissance Philanthropy (RenPhil)
  • Previous Positions: Worked at Learning Engineering Virtual Institute (now part of Renaissance), initially at Schmidt Futures, then at Digital Harbor Foundation
Education
  • D.Phil in Computer Science, 2018-2022, University of Oxford, Supervisors: Dr. İsmail İlkan Ceylan and Prof. Thomas Lukasiewicz
  • M.Sc. in Computer Science, 2017-2018, University of Oxford
  • B.E. in Computer Engineering, 2013-2017, Lebanese American University (LAU), Minor: Mathematics
Background
  • Research Interests: Graph Representation Learning (GRL)
  • Field: Computer Science
  • Summary: Currently a Program Scientist at Renaissance Philanthropy (RenPhil), leading the organization's AI for Math and AI for Education portfolios.
Miscellany
  • Contact: ralph {at} ralphabb.ai