Data_Sheet_1_Benchmarking quantum annealing with maximum cardinality matching problems.PDF Yazar: Daniel Vert (18769933)

Konular:

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

Konular:

Abbreviations and notation. Yazar: Hossein Rafieizadeh (22676722)

Konular:

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

Konular:

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

Konular:

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

Konular:

Anomaly detection performance (AUROC). Yazar: Hossein Rafieizadeh (22676722)

Konular:

Diversity of augmented graphs. Yazar: Hossein Rafieizadeh (22676722)

Konular:

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

Konular:

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

Konular:

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

Konular:

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

Konular:

Ablation on Amazon. Yazar: Hossein Rafieizadeh (22676722)

Konular:

Anomalies in attributed networks. Yazar: Hossein Rafieizadeh (22676722)

Konular: