Results 131 to 140 of about 9,400 (149)

Graph Representation Learning for Game Provenance

Anais Estendidos do XXIV Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames 2025)
Introduction: Game Provenance Graphs model game sessions by capturing game elements, states, and interactions, reflecting the domain’s heterogeneity, dynamicity, and spatiality. Graph Neural Networks (GNNs), widely used in machine learning, learn representations through graph structures.
Sidney Melo, Aline Paes, Esteban Clua
openaire   +1 more source

Investigating the properties of OpenStreetMap provenance graphs [PDF]

, 2023
The production of geographic data has traditionally been the purview of institutions such as the Ordnance Survey and US Geological Survey. The past three decades have seen a technological revolution brought about by mobile computing resources and the World Wide Web.
openaire  

Prov2ONE: An Algorithm for Automatically Constructing ProvONE Provenance Graphs

2016
Provenance traces history within workflows and enables researchers to validate and compare their results. Currently, modelling provenance in ProvONE is an arduous task and lacks an automated approach. This paper introduces a novel algorithm, called Prov2ONE that automatically generates the ProvONE prospective provenance for scientific workflows defined
Prabhune, Ajinkya, Zweig, Aaron, Stotzka, Rainer, Gertz, Michael, Hesser, Juergen   +4 more
openaire   +2 more sources

Efficient Differencing of System-level Provenance Graphs

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Yuta Nakamura, Iyad Kanj, Tanu Malik
openaire   +1 more source

Provenance Map Orbiter: Interactive Exploration of Large Provenance Graphs.

2011
Provenance systems can produce enormous provenance graphs that can be used for a variety of tasks from determining the inputs to a particular process to debugging entire workflow executions or tracking difficult-to-find dependencies. Visualization can be a useful tool to sup- port such tasks, but graphs of such scale (thousands to millions of nodes ...
Macko, Peter, Seltzer, Margo
openaire   +1 more source

Novel blockchain transaction provenance model with graph attention mechanism

Expert Systems With Applications, 2022
Yuan Cao, Zhiqiang Geng, Yongming Han
exaly  

TDLens: Toward an empirical evaluation of provenance graph-based approach to cyber threat detection

China Communications, 2022
Rui Mei, Hanbing Yan
exaly  

THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning

IEEE Transactions on Information Forensics and Security, 2022
Jiahai Yang, Xingang Shi, Zhiliang Wang   +2 more
exaly  

Detecting long-range cause-effect relationships in game provenance graphs with graph-based representation learning

Entertainment Computing, 2019
Esteban Walter Clua, Leonardo Murta, Troy Kohwalter   +2 more
exaly  

Provenance compression scheme based on graph patterns for large RDF documents

Journal of Supercomputing, 2019
Jaesoo Yoo, Jongtae Lim, Kyoungsoo Bok   +2 more
exaly