Leilei Sun

Graph-based Embedding Smoothing for Sequential Recommendation

2021 · IEEE Transactions on Knowledge and Data Engineering

In real-world scenarios, a user's interactions with items could be formalized as a behavior sequence, indicating his/her dynamic and evolutionary preferences. To this end, a series of recent efforts in recommender systems aim at improving …

Label-Enhanced Graph Neural Network for Semi-supervised Node Classification

2022 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have been widely applied in the semi-supervised node classification task, where a key point lies in how to sufficiently leverage the limited but valuable label information. Most of the classical GNNs …

DyGKT: Dynamic Graph Learning for Knowledge Tracing

2024

Knowledge Tracing aims to assess student learning states by predicting their performance in answering questions. Different from the existing research which utilizes fixed-length learning sequence to obtain the student states and regards KT as a …