DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning
DGCPath is presented, an innovative Distribution-aware Generative Contrastive learning framework for Path representation that establishes a synergistic connection between generative modeling and distributional contrastive learning, enabling the acquisition of robust and transferable feature embeddings.
Sean Bin Yang, Hao Miao, Zong-Yi Xu et al.
· Proceedings of the Thirty-Fi... · 1 citation