Xiaojie Guo

Graph Neural Networks: Foundation, Frontiers and Applications

2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the recent years. Graph neural networks, also known as deep learning on graphs, graph representation learning, or geometric deep learning, have …

Graph Neural Networks for Natural Language Processing: A Survey

2023 · Foundations and Trends® in Machine Learning

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems …

Vague Preference Policy Learning for Conversational Recommendation

2023 · arXiv (Cornell University)

Conversational recommendation systems (CRS) commonly assume users have clear preferences, leading to potential over-filtering of relevant alternatives. However, users often exhibit vague, non-binary preferences. We introduce the Vague Preference Multi-round Conversational Recommendation (VPMCR) scenario, employing …