Supervised Graph Contrastive Learning for Few-Shot Node Classification

Data Mining

Supervised Graph Contrastive Learning for Few-Shot Node Classification

Improved Data-Centric Classification Method Including Application to Predictive Risk Scoring

Novel Clustering Algorithms for Improved Twitter Dataset Creation

Unsupervised Streaming Feature Selection in Social Media

Causal Rule Learning for Combat Information

CrossFire: Cross Media Joint Friend and Item Recommendations

Sequential Event Prediction with Noise-Contrastive Estimation for Marked Temporal Point Process

An Approach for Untraceable Web Browsing History and Unambiguous User Profiles

Text Representation Learning for Preserving Textual Privacy and Utility of User Data

Efficient Topic Tracking of Social Streaming Data for Disaster Support

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