Portfolio

How Expressive are Knowledge Graph Foundation Models? Permalink

Published: February 24, 2025

Our paper ‘How Expressive are Knowledge Graph Foundation Models?’ is now available on arXiv. Check it out for a detailed analysis of the expressive power of KGFMs.

Research Internships at Eigent-AI & CAMEL-AI

Published: June 15, 2025

Worked on multi-agent systems and data generation for verifiable RL.

‘Link Prediction with Relational Hypergraphs’ is on arXiv now!

‘Cooperative graph neural networks’ got accepted by ICML 2024!

‘A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification’ got accepted by IEEE Transactions on Cybernetics!

‘One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs’ is on arXiv now!

Selected as Top Reviewer for NeurIPS 2025

Published: December 08, 2025

Honored to be recognized as a Top Reviewer at NeurIPS 2025.

‘A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graph’ got accepted by NeurIPS 2023!

‘Theoretical Insights into Line Graph Transformation on Graph Learning’ got accepted by NeurIPS 2024 Workshop of Symmetry and Geometry in Neural Representations!

Research Intern at Snap Inc. (User Modelling & Personalization)

Published: December 01, 2025

Research intern at Snap Inc., User Modelling and Personalization teams.

Organizing the SEA Workshop @ NeurIPS 2025

Published: December 07, 2025

Co-organizing the Scaling Environments for Agents (SEA) Workshop at NeurIPS 2025.