Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. حسب Agata Skorupka (20469080)

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Results for TwiBot-20 dataset—best 10 models. حسب Agata Skorupka (20469080)

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Results for Bitcoin OTC dataset—best 10 models. حسب Agata Skorupka (20469080)

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Best models in the class of embedding type for Bitcoin OTC. حسب Agata Skorupka (20469080)

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Models grouped by dimension number for Bitcoin Alpha dataset, average metrics. حسب Agata Skorupka (20469080)

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Models grouped by dimension number for Bitcoin OTC dataset, average metrics. حسب Agata Skorupka (20469080)

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Results for TwiBot-20 dataset—best models in the class of embedding type. حسب Agata Skorupka (20469080)

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Average metrics for models grouped by dimension number for the TwiBot-20 dataset. حسب Agata Skorupka (20469080)

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Best models in the class of embedding type for Bitcoin Alpha. حسب Agata Skorupka (20469080)

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Results for Bitcoin Alpha dataset—best 10 models. حسب Agata Skorupka (20469080)

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Implementation of TIPC, a computational method utilizing hexagonal tessellation and a classifier that evaluates multiple spatial parameters against a tumor region-specific null mod... حسب Mai Chan Lau (3135303)

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Experimental results after data augmentation using ADASYN. حسب GaoXiang Zhao (21499525)

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TreeMap 2016 Forest Type Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

Computation time as a function of the sample size on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. حسب Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). حسب Tomokaze Shiratori (9635271)

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Examples of ground-truth graph structures with (<i>p</i>, <i>n</i>_≠0) = (10, 10). حسب Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

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