Data_Sheet_1_Benchmarking quantum annealing with maximum cardinality matching problems.PDF -н Daniel Vert (18769933)

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A QM-AI Approach for the Acceleration of Accurate Assessments of Halogen‑π Interactions by Training Neural Networks -н Marc U. Engelhardt (16642483)

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Abbreviations and notation. -н Hossein Rafieizadeh (22676722)

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Description of the datasets statistics and their anomaly ratios. -н Hossein Rafieizadeh (22676722)

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Condensed summary of graph anomaly detection methods and their key strengths and limitations. -н Hossein Rafieizadeh (22676722)

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Embedding vs. reconstruction-level contrast (RLC). -н Hossein Rafieizadeh (22676722)

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Anomaly detection performance (AUROC). -н Hossein Rafieizadeh (22676722)

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Diversity of augmented graphs. -н Hossein Rafieizadeh (22676722)

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Dual autoencoder with reconstruction-level contrast. -н Hossein Rafieizadeh (22676722)

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Normalized total loss on the Facebook dataset (DCOR with and without RLC). -н Hossein Rafieizadeh (22676722)

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Normalized training loss vs. baselines (Facebook). -н Hossein Rafieizadeh (22676722)

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Structural and node-level augmentations for graph anomalies. -н Hossein Rafieizadeh (22676722)

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Ablation on Amazon. -н Hossein Rafieizadeh (22676722)

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Anomalies in attributed networks. -н Hossein Rafieizadeh (22676722)

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