Suhang Wang

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs

2025 · arXiv (Cornell University)

Graph neural networks (GNNs) have shown great ability for node classification on graphs. However, the success of GNNs relies on abundant labeled data, while obtaining high-quality labels is costly and challenging, especially for newly emerging …

Recommendation with Social Dimensions

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

The pervasive presence of social media greatly enriches online users' social activities, resulting in abundant social relations. Social relations provide an independent source for recommendation, bringing about new opportunities for recommender systems. Exploiting social relations …

What Your Images Reveal

2017

The rapid growth of Location-based Social Networks (LBSNs) provides a vast amount of check-in data, which facilitates the study of point-of-interest (POI) recommendation. The majority of the existing POI recommendation methods focus on four aspects, …