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cs.LG2025
Graph Generative Models Evaluation with Masked Autoencoder
Chengen Wang, Murat Kantarcioglu
In recent years, numerous graph generative models (GGMs) have been proposed. However, evaluating these models remains a considerable challenge, primarily due to the difficulty in e…
cs.LG2025
A Review of DeepSeek Models' Key Innovative Techniques
Chengen Wang, Murat Kantarcioglu
DeepSeek-V3 and DeepSeek-R1 are leading open-source Large Language Models (LLMs) for general-purpose tasks and reasoning, achieving performance comparable to state-of-the-art close…
cs.LG2025
A Systematic Evaluation of Generative Models on Tabular Transportation Data
Chengen Wang, Alvaro Cardenas, Gurcan Comert +1
The sharing of large-scale transportation data is beneficial for transportation planning and policymaking. However, it also raises significant security and privacy concerns, as the…