Our Members at the AGML Research Center are dedicated to advancing Graph Machine Learning and its applications across transformative domains, including Healthcare, Finance, Bioinformatics, and Geoinformatics. Beyond graph-based learning, our expertise extends to Algorithms and Graphs—where we develop cutting-edge computational geometry techniques, advanced data structures, and approximation and heuristic algorithms that form the backbone of scalable and efficient AI systems. We are excited to communicate our research globally through high-impact research publications and collaborative industrial projects. By employing innovative methods, we transform our research into valuable scientific artifacts that benefit both communities and industry. Our approach is built upon a strong theoretical foundation, from which we develop sophisticated models capable of analyzing complex, real-world problems. Whether through exact algorithmic solutions or approximate predictions, our work consistently strives for excellence and practical impact. At AGML, we believe in the power of interdisciplinary collaboration to drive meaningful change and shape the future of artificial intelligence.