Abbreviations and notation. por Hossein Rafieizadeh (22676722)

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

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

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

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Anomaly detection performance (AUROC). por Hossein Rafieizadeh (22676722)

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Diversity of augmented graphs. por Hossein Rafieizadeh (22676722)

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

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

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

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

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Ablation on Amazon. por Hossein Rafieizadeh (22676722)

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Anomalies in attributed networks. por Hossein Rafieizadeh (22676722)

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Vector Vortex Beam-Enabled Edge Microscopy with Dynamic Orientation Selectivity por Hammad Ahmed (7526297)

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Patterns of mnemonic differences in phase clustering are dependent on time alignment. por Adam J. O. Dede (11554007)

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Task and channel coverage. por Adam J. O. Dede (11554007)

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Short periods of increased connectivity between ROIs are characterized by a sparse overall network state. por Adam J. O. Dede (11554007)

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Individual memory performance was predicted by a subset of iEEG signal components. por Adam J. O. Dede (11554007)

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Schematic representation of key findings. por Adam J. O. Dede (11554007)

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High-frequency broadband (HFB) peak latency timing changes with memory. por Adam J. O. Dede (11554007)

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Patterns of connectivity were different depending on time alignment. por Adam J. O. Dede (11554007)

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