GraphML representation of the bipartite network with node labels and metadata, accompanied by a high-resolution visualization for reference. by María José Cambero Acosta (21637492)

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Data Sheet 1_Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.xls by Chongkang Yue (19815378)

“…Background<p>Gastric cancer, a pervasive malignancy globally, often presents with regional lymph node metastasis (LNM), profoundly impacting prognosis and treatment options. …”

J001-J012 Pipeline Section Diagram of Node. by Fuqin Liu (21353964)

“…This research focuses on an old residential community in Beijing utilizing the SWMM in combination with the NSGA-II algorithm. A Pareto optimal curve was identified iteratively, with construction costs, runoff reduction effects, and node overload time as the optimization objectives and the maximum area for the low impact development (LID) layout as a constraint. …”

Double logarithmic plot between the weighted out-degree of a node and its probability in a heteroskedasticity network. by Linxi Wang (3068649)

Bot detection on the TwiBot-20 dataset using various methods presented in the literature performance comparison including accuracy, F1, and Matthew’s Correlation Coefficient. by Agata Skorupka (20469080)

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ROC for all gene biomarkers as features on the GSE113439 set. by Zongjin Li (38031)

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The most significant GO terms and p-values for each of the five modules. by Zongjin Li (38031)

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Visualization of interaction between genes in other four module. by Zongjin Li (38031)

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The ROC Curve of Comparison with published methods. by Zongjin Li (38031)

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ROC curve for gene biomarkers on the validated set. by Zongjin Li (38031)

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The distribution of the gene biomarkers in positive and negative samples in the GSE113439 database. by Zongjin Li (38031)

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Example of a dynamic process for directed graph stimulus propagation. by Hui Wei (126971)

“…<p>(a) <i>t</i>₀: Initial nodes {<i>v</i>_<i>a</i>,<i>v</i>_<i>b</i>,<i>v</i>_<i>c</i>,<i>v</i>_<i>d</i>} are activated, which performs stimulus propagation according to a weighted random selection algorithm. …”

Temporal occurrences charts generated from sample data from the website showing the time on the x axis and the cumulative count of selected behaviors per individual on the y axis. by Nicolai Kraus (19949667)

Models outperformed by the model with same feature set but compressed, Bitcoin OTC dataset, fraction. by Agata Skorupka (20469080)

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NLP feature set variables for TwiBot-20. by Agata Skorupka (20469080)

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Models outperformed by the model with same feature set but compressed, Bitcoin Alpha dataset, fraction. by Agata Skorupka (20469080)

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

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Graph embeddings used for TwiBot-20, Bitcoin OTC and Bitcoin Alpha datasets. by Agata Skorupka (20469080)

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

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

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