Chuxu Zhang

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System

2015

Online social networks provide us a convenient way to access information, which in turn bring the information overload problem. Most of the previous works focused on analyzing user's retweet behavior on the micro-blogging system, and …

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

2022 · arXiv (Cornell University)

Graph neural networks (GNNs) have shown remarkable performance on diverse graph mining tasks. Although different GNNs can be unified as the same message passing framework, they learn complementary knowledge from the same graph. Knowledge distillation …

Self-Supervised Graph Structure Refinement for Graph Neural Networks

2022 · arXiv (Cornell University)

Graph structure learning (GSL), which aims to learn the adjacency matrix for graph neural networks (GNNs), has shown great potential in boosting the performance of GNNs. Most existing GSL works apply a joint learning framework …

Can LLMs Convert Graphs to Text-Attributed Graphs?

2024 · arXiv (Cornell University)

Graphs are ubiquitous structures found in numerous real-world applications, such as drug discovery, recommender systems, and social network analysis. To model graph-structured data, graph neural networks (GNNs) have become a popular tool. However, existing GNN …

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection

2025 · arXiv (Cornell University)

As the market for illicit drugs remains extremely profitable, major online platforms have become direct-to-consumer intermediaries for illicit drug trafficking participants. These online activities raise significant social concerns that require immediate actions. Existing approaches to …

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics

2019

Online purchase forecasting is of great importance in e-commerce platforms, which is the basis of how to present personalized interesting product lists to individual customers. However, predicting online purchases is not trivial as it is …