Dongxiao He

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks

2019

Network embedding (NE) maps a network into a low-dimensional space while preserving intrinsic features of the network. Variational Auto-Encoder (VAE) has been actively studied for NE. These VAE-based methods typically utilize both network topologies and …

Amer: A New Attribute-Missing Network Embedding Approach

2022 · IEEE Transactions on Cybernetics

Network embedding which aims to learn a low dimensional representation of nodes is a powerful technique for network analysis. While network embedding for networks with complete attributes has been widely investigated, in many real-world applications …

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System

2024

The Conversational Recommendation System (CRS) aims to capture user dynamic preferences and provide item recommendations based on multi-turn conversations. However, effectively modeling these dynamic preferences faces challenges due to conversational limitations, which mainly manifests as …