2 papers
cs.LG2024
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu, Bin Shi, Teng Ma +3
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of th…
cs.CV2024
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
Yuntao Shou, Huan Liu, Xiangyong Cao +2
Conversational emotion recognition (CER) is an important research topic in human-computer interactions. {Although recent advancements in transformer-based cross-modal fusion method…