Junchen Ye

Repeat-Aware Neighbor Sampling for Dynamic Graph Learning

2024 · arXiv (Cornell University)

Dynamic graph learning equips the edges with time attributes and allows multiple links between two nodes, which is a crucial technology for understanding evolving data scenarios like traffic prediction and recommendation systems. Existing works obtain …

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 …