Target-Aware Convolutional Neural Network for Target-Level Sentiment Analysis

Deep Hybrid Recommender Systems via Exploiting Document Context and Statistics of Items

Improving top-K recommendation with truster and trustee relationship in user trust network

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability

Nonlinearity Encoding for Extrapolation of Neural Networks

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment

AHP: Learning to Negative Sample for Hyperedge Prediction

Augmentation-Free Self-Supervised Learning on Graphs

Learnable Structural Semantic Readout for Graph Classification

Bootstrapping User and Item Representations for One-Class Collaborative Filtering