2025 Performance Review And Future Strategy

My biotech-focused portfolio delivered a 34.3% average return, outperforming the S&P 500 by 20.6%. Click here for a detailed ...
IEEE

False Negative Sample Detection for Graph Contrastive Learning

Abstract: Recently, self-supervised learning has shown great potential in Graph Neural Networks (GNNs) through contrastive learning, which aims to learn discriminative features for each node without ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...