[Demo] International Conference on Graph-based Research and Applications for Programming, Heuristics and Smart Sustainable Systems

September 21, 2026

Rabat, Rabat-salé-kénitra, Morocco

# Conference Description **GRAPHS³ 2026** is an international interdisciplinary conference dedicated to advancing research and innovation in Graph Theory and its applications across intelligent digital ecosystems. The conference aims to bring together researchers, academics, industry experts, engineers, and practitioners working at the intersection of theoretical and applied graph-based approaches. The conference emphasizes the central role of graph models, network structures, optimization methods, and intelligent algorithms in addressing contemporary challenges related to Artificial Intelligence, Data Science, software engineering, smart infrastructures, sustainability, and Cybersecurity. GRAPHS³ 2026 seeks to promote scientific collaboration, emerging methodologies, and innovative solutions that contribute to the development of secure, intelligent, resilient, and sustainable systems. # Scope of the Conference The conference covers both theoretical foundations and practical applications of graph-based methods in modern computational and mathematical sciences, including but not limited to: ### 1. Graph Theory and Discrete Mathematics * Graph algorithms * Combinatorics and optimization * Network theory * Spectral graph theory * Random and dynamic graphs * Computational complexity * Graph coloring and matching * Hypergraphs and probabilistic graphs ### 2. Artificial Intelligence and Intelligent Systems * Graph neural networks (GNNs) * Knowledge graphs * Explainable AI * Multi-agent systems * Machine learning on graphs * Cognitive and adaptive systems * Hybrid intelligent systems ### 3. Data Science and Analytics * Graph data mining * Big data analytics * Social network analysis * Semantic web and linked data * Recommendation systems * Predictive analytics * Pattern recognition ### 4. Programming and Software Engineering * Software architecture modeling * Graph-based software analysis * DevOps and intelligent development * Formal methods and verification * Distributed and cloud systems * Service-oriented architectures ### 5. Cybersecurity and Secure Systems * Secure graph-based communication * Intrusion detection systems * Cyber threat intelligence * Blockchain and distributed trust * Privacy-preserving systems * Network security analytics ### 6. Smart and Sustainable Systems * Smart cities * Intelligent transportation systems * Sustainable digital infrastructures * IoT and edge computing * Green computing * Smart energy systems * Digital transformation for sustainability ### 7. Interdisciplinary and Emerging Applications * Bioinformatics and healthcare systems * Quantum computing and graph applications * Educational technologies * Industrial systems and Industry 5.0 * Decision-support systems # Objectives of GRAPHS³ 2026 The main objectives of the conference are: 1. To advance theoretical and applied research in Graph Theory and related computational sciences. 2. To foster interdisciplinary collaboration between researchers in mathematics, computer science, engineering, and intelligent systems. 3. To explore innovative graph-based approaches for solving complex real-world problems. 4. To promote research in Artificial Intelligence, Data Science, optimization, and secure digital ecosystems. 5. To encourage sustainable and ethical technological innovation through smart system design. 6. To provide an international platform for presenting cutting-edge scientific contributions, industrial applications, and emerging technologies. 7. To strengthen collaboration between academia, industry, research laboratories, and public institutions. 8. To support young researchers, doctoral students, and innovators through scientific exchange and networking opportunities. 9. To encourage the development of intelligent, resilient, and sustainable computational infrastructures. 10. To establish a long-term international scientific community around graph-centered intelligent technologies and sustainable digital transformation.