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1. Graph Machine Learning: Take Graph Data to the Next Level by Applying Machine Learning Techniques and Algorithms Enrico Deusebio, 2021 2. Graph-Powered Machine Learning Alessandro Negro, 2021 3. Graph Representation Learning William L. Hamilton, 2020 4. Deep Learning on Graphs Jiliang Tang, 2021 5. Graph-Powered Analytics and Machine Learning with TigerGraph Alexander Thomas, 2023 6. Graph Neural Networks: Foundations, Frontiers, and Applications 2022 7. Graph Algorithms: Practical Examples in Apache Spark and Neo4j Amy E. Hodler, 2019 8. Building Knowledge Graphs Jim Webber, 2023 9. Graph Algorithms for Data Science: With Examples in Neo4j Tomaž Bratanic, 2024 10. Graph Neural Networks in Action Keita Broadwater, 2024 11. Hands-On Graph Neural Networks Using Python: Practical Techniques and Architectures for Building Powerful Graph and Deep Learning Apps with PyTorch Maxime Labonne, 2023 12. The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems Denise Koessler Gosnell, 2020 13. Algorithms in C, Part 5: Graph Algorithms Robert Sedgewick, 2001 14. Mining of Massive Datasets Jeffrey Ullman, 2011 15. Machine Learning for Text Charu C. Aggarwal, 2018 16. Knowledge Graphs: Fundamentals, Techniques, and Applications Craig A. Knoblock, 2021 17. Networks, Crowds, and Markets: Reasoning about a Highly Connected World Jon Kleinberg, 2010 18. Graph-based Natural Language Processing and Information Retrieval Dragomir R. Radev, 2011 19. Designing and Building Enterprise Knowledge Graphs (Synthesis Lectures on Data, Semantics, and Knowledge) Juan Sequeda, Ora Lassila Morgan & Claypool (2021)
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