Bowen Jin

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning

2024 · arXiv (Cornell University)

Text-rich graphs, which exhibit rich textual information on nodes and edges, are prevalent across a wide range of real-world business applications. Large Language Models (LLMs) have demonstrated remarkable abilities in understanding text, which also introduced …

Multi-behavior Recommendation with Graph Convolutional Networks

2020

Traditional recommendation models that usually utilize only one type of user-item interaction are faced with serious data sparsity or cold start issues. Multi-behavior recommendation taking use of multiple types of user-item interactions, such as clicks …