How Expressive are Knowledge Graph Foundation Models?
X Huang, P Barceló, MM Bronstein, İİ Ceylan, M Galkin, JL Reutter, MR Orth, How Expressive are Knowledge Graph Foundation Models?, arXiv preprint arXiv:2502.13339, 2025
You can also download my CV here!
X Huang, P Barceló, MM Bronstein, İİ Ceylan, M Galkin, JL Reutter, MR Orth, How Expressive are Knowledge Graph Foundation Models?, arXiv preprint arXiv:2502.13339, 2025
K Olejniczak, X Huang, İİ Ceylan, M Galkin, One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs, arXiv preprint arXiv:2409.13959, 2024
B Finkelshtein, X Huang, M Bronstein, İİ Ceylan, Cooperative graph neural networks, arXiv preprint arXiv:2310.01267, 2023
Y. Zhou, N. Yang, X. Huang, J. Lee and S. Kwong, "A Novel Multiobjective Genetic Programming Approach to High-Dimensional Data Classification," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2024.3372070.
F Yang, X Huang, Theoretical Insights into Line Graph Transformation on Graph Learning, arXiv preprint arXiv:2410.16138, 2024
X Huang, MR Orth, P Barceló, MM Bronstein, İİ Ceylan, Link Prediction with Relational Hypergraphs, arXiv preprint arXiv:2402.04062, 2024
Xingyue Huang, Miguel Romero Orth, İsmail İlkan Ceylan, and Pablo Barceló. A theory of link prediction via relational weisfeiler-leman on knowledge graphs. In NeurIPS, 2023.
X. Huang, Y. Chi and Y. Zhou, "Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization," 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, pp. 1052-1059, doi: 10.1109/CEC.2019.8790366.
Yizhou Chi and Xingyue Huang and Yu Zhou, An Empirical Study on Two-child Policy in China Based on Statistical Analysis and Machine Learning, Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)