Sep 13, 2020 · More specifically, GIKT utilizes graph convolutional network (GCN) to substantially incorporate question-skill correlations via embedding ...

Feb 25, 2021 · In this paper, we propose a framework to employ high-order question-skill relation graphs into question and skill representations for knowledge ...

The code is related to the paper GIKT: A Graph-based Interaction Model for Knowledge Tracing published at ECML-PKDD 2020 Paper in arXiv.

More specifically, GIKT utilizes graph convolutional network (GCN) to substantially incorporate question-skill correlations via embedding propagation.

Sep 13, 2020 · A Graph-based Interaction model for Knowledge Tracing (GIKT) is proposed, which utilizes graph convolutional network (GCN) to substantially ...

Papertalk is an open-source platform where scientists share video presentations about their newest scientific results - and watch, like + discuss them.

In this paper, we propose a Graph-based Interaction model for Knowledge Tracing (GIKT) to tackle the above problems. More specifically, GIKT utilizes graph ...

Oct 13, 2023 · The experimental results show that GIKT-DT outperforms other baseline models and can better utilize the behavioral characteristics of learners ...

Oct 5, 2022 · Our work is inspired by a graph-based interaction model for knowledge tracing. (GIKT), and we refer readers to the reference [11] for more ...

Sep 14, 2020 · ECML-PKDD is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences ...