Griffith Research Online

Griffith Research Online (GRO) is a digital archive of research and scholarship from Griffith University, Brisbane, Australia.

GRO delivers free online full-text versions of journal articles, conference papers, and more, where this is possible with the appropriate permissions of copyright owners. GRO increases the impact and influence of Griffith research and scholarship by ensuring it is visible, discoverable and accessible via search engines like Google and discovery services like the National Library’s Trove.

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  • Background and Approach 

    Delong, MD; Thoms, MC; Jardine, TD; Benke, AC (Rivers of North America, 2023)
    This introductory chapter provides the background and approach for the second edition of Rivers of North America. The book covers 22 chapters on rivers from the major regions of North America and provides detailed descriptions ...
    BOOK CHAPTER

  • Attributing Conduct of Autonomous Software Agents with Legal Personality under International Law on State Responsibility 

    Haataja, Samuli (Artificial Intelligence and Normative Challenges: International and Comparative Legal Perspectives, 2023)
    This chapter considers attribution under international law on state responsibility in relation to the conduct of autonomous software agents (ASAs) with legal personality that are used to perform a state’s cyber security ...
    BOOK CHAPTER

  • Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs 

    Zheng, Y; Zhang, H; Lee, VC; Zheng, Y; Wang, X; Pan, S (International Conference on Machine Learning, 2023)
    Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophilic-prone or heterophily-prone. While graphs with homophily-prone edges tend to connect nodes with the ...
    CONFERENCE OUTPUT

  • Differential-Privacy Preserving Trajectory Data Publishing for Road Networks 

    Li, S; Tian, H; Shen, H; Sang, Y (ACIIDS 2023: 15th Asian Conference, 2023)
    In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive reasoning and analysis based on the published trajectory data with certain ...
    CONFERENCE OUTPUT

  • Perspective Chapter: The Learning Management System of 2028 and How We Start Planning for This Now 

    Sankey, Michael David; Marshall, Stephen James (Higher Education - Reflections From the Field, 2023)
    It has been said for years that, in the near future the Learning Management System (LMS) will become a thing of the past. Some suggest this should already be the case, but it has not been possible to break our institutional ...
    BOOK CHAPTER

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