3 papers
cs.LG2024
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
Yifei Yang, Wonjun Lee, Dongmian Zou +1
Hyperbolic representations have shown remarkable efficacy in modeling inherent hierarchies and complexities within data structures. Hyperbolic neural networks have been commonly ap…
cs.LG2024
Monotone Generative Modeling via a Gromov-Monge Embedding
Wonjun Lee, Yifei Yang, Dongmian Zou +1
Generative adversarial networks (GANs) are popular for generative tasks; however, they often require careful architecture selection, extensive empirical tuning, and are prone to mo…
cs.LG2024
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps
Yifei Yang, Peng Wang, Xiaofan He +1
Detecting unusual patterns in graph data is a crucial task in data mining. However, existing methods face challenges in consistently achieving satisfactory performance and often la…