Mixed graph contrastive network for semi-supervised node classification
Graph Neural Networks (GNNs) have achieved promising performance in semi-supervised
node classification in recent years. However, the problem of insufficient supervision …
node classification in recent years. However, the problem of insufficient supervision …
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
Cross-domain recommendation (CDR), aiming to extract and transfer knowledge across
domains, has attracted wide attention for its efficacy in addressing data sparsity and cold …
domains, has attracted wide attention for its efficacy in addressing data sparsity and cold …
Dataset Regeneration for Sequential Recommendation
The sequential recommender (SR) system is a crucial component of modern recommender
systems, as it aims to capture the evolving preferences of users. Significant efforts have …
systems, as it aims to capture the evolving preferences of users. Significant efforts have …
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives
Cognitive diagnosis seeks to estimate the cognitive states of students by exploring their
logged practice quiz data. It plays a pivotal role in personalized learning guidance within …
logged practice quiz data. It plays a pivotal role in personalized learning guidance within …
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
In recommendation systems, users frequently engage in multiple types of behaviors, such as
clicking, adding to cart, and purchasing. Multi-behavior sequential recommendation aims to …
clicking, adding to cart, and purchasing. Multi-behavior sequential recommendation aims to …
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
Cross-Domain Sequential Recommendation (CDSR) aims to mine and transfer users'
sequential preferences across different domains to alleviate the long-standing cold-start …
sequential preferences across different domains to alleviate the long-standing cold-start …