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Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

Knowledge-Based Systems (KBS), 2022
22 January 2022
Xiangyu Song
Jianxin Li
Qiuyu Lei
Wei Zhao
Yunliang Chen
Lin Wang
    AI4Ed
ArXiv (abs)PDFHTML

Papers citing "Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing"

23 / 23 papers shown
Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing
Dynamic Programming Techniques for Enhancing Cognitive Representation in Knowledge Tracing
Lixiang Xu
Xianwei Ding
Xin Yuan
Richang Hong
Feiping Nie
Enhong Chen
Philip S. Yu
AI4Ed
462
0
0
03 Jun 2025
Survey of Loss Augmented Knowledge Tracing
Survey of Loss Augmented Knowledge Tracing
Altun Shukurlu
262
0
0
21 Apr 2025
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
Yilmazcan Ozyurt
Stefan Feuerriegel
Mrinmaya Sachan
AI4Ed
401
10
0
02 Oct 2024
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
Yuquan Xie
Wanqi Yang
Jinyu Wei
Ming Yang
Yang Gao
AI4Ed
396
2
0
02 Jul 2024
Leveraging Pedagogical Theories to Understand Student Learning Process
  with Graph-based Reasonable Knowledge Tracing
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge TracingKnowledge Discovery and Data Mining (KDD), 2024
Jiajun Cui
Hong Qian
Bo Jiang
Wei Zhang
AI4Ed
240
16
0
07 Jun 2024
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized
  Adaptive Learning
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
Ming-Mu Kuo
Shouvon Sarker
Lijun Qian
Yujian Fu
Xiangfang Li
Xishuang Dong
AI4Ed
271
4
0
25 Apr 2024
Integrating Graph Neural Networks with Scattering Transform for Anomaly
  Detection
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
Abdeljalil Zoubir
Badr Missaoui
315
5
0
16 Apr 2024
Improving Low-Resource Knowledge Tracing Tasks by Supervised
  Pre-training and Importance Mechanism Fine-tuning
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning
Hengyuan Zhang
Zitao Liu
Shuyan Huang
Chenming Shang
Bojun Zhan
Yong Jiang
427
5
0
11 Mar 2024
A Review of Data Mining in Personalized Education: Current Trends and
  Future Prospects
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Zhang Xiong
Haoxuan Li
Zhuang Liu
Zhuofan Chen
Hao Zhou
Wenge Rong
Y. Ouyang
243
15
0
27 Feb 2024
KARL: Knowledge-Aware Retrieval and Representations aid Retention and
  Learning in Students
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
Matthew Shu
Nishant Balepur
Shi Feng
Jordan L. Boyd-Graber
AI4EdHAI
208
6
0
19 Feb 2024
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a
  Large Language Model-Based Difficulty Prediction
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction
Unggi Lee
Sungjun Yoon
Joon Seo Yun
Kyoungsoo Park
YoungHoon Jung
Damji Stratton
Hyeoncheol Kim
230
17
0
19 Dec 2023
Do We Fully Understand Students' Knowledge States? Identifying and
  Mitigating Answer Bias in Knowledge Tracing
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
C. Cui
Hebo Ma
C. Zhang
Chunyun Zhang
Yumo Yao
Meng Chen
Yuling Ma
KELM
284
3
0
15 Aug 2023
Cross-heterogeneity Graph Few-shot Learning
Cross-heterogeneity Graph Few-shot LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
Pengfei Ding
Yan Wang
Guanfeng Liu
243
4
0
10 Aug 2023
Scalable and Equitable Math Problem Solving Strategy Prediction in Big
  Educational Data
Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational DataEducational Data Mining (EDM), 2023
Anup Shakya
Vasile Rus
Deepak Venugopal
280
2
0
07 Aug 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable CorruptionKnowledge-Based Systems (KBS), 2023
Chengyu Sun
SSL
249
3
0
28 Jan 2023
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive
  Tasks for Knowledge Tracing and Dropout Prediction
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction
Jungbae Park
Jinyoung Kim
Soonwoo Kwon
Sang Wan Lee
200
1
0
07 Oct 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous
  Graphs
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Linhao Luo
Yixiang Fang
Moli Lu
Xin Cao
Xiaofeng Zhang
Wenjie Zhang
202
15
0
12 Aug 2022
Model-Agnostic and Diverse Explanations for Streaming Rumour Graphs
Model-Agnostic and Diverse Explanations for Streaming Rumour GraphsKnowledge-Based Systems (KBS), 2022
Thanh Tam Nguyen
Thanh Cong Phan
Minh Hieu Nguyen
Matthias Weidlich
Hongzhi Yin
Jun Jo
Quoc Viet Hung Nguyen
MLAU
157
21
0
17 Jul 2022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on
  Graph Neural Networks
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural NetworksKnowledge-Based Systems (KBS), 2022
Evan Caville
Wai Weng Lo
S. Layeghy
Marius Portmann
403
197
0
14 Jul 2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Few-Shot Semantic Relation Prediction across Heterogeneous GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Pengfei Ding
Yan Wang
Guanfeng Liu
Xiaofang Zhou
222
6
0
11 Jul 2022
DPGNN: Dual-Perception Graph Neural Network for Representation Learning
DPGNN: Dual-Perception Graph Neural Network for Representation Learning
Li Zhou
Wenyu Chen
DingYi Zeng
Shaohuan Cheng
Wanlong Liu
Malu Zhang
Hong Qu
296
15
0
15 Oct 2021
Distributed Optimization of Graph Convolutional Network using Subgraph
  Variance
Distributed Optimization of Graph Convolutional Network using Subgraph Variance
Taige Zhao
Xiangyu Song
Jianxin Li
Wei Luo
Imran Razzak
GNN
191
12
0
06 Oct 2021
A Survey of Knowledge Tracing: Models, Variants, and Applications
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsIEEE Transactions on Learning Technologies (IEEE TLT), 2021
Shuanghong Shen
Qi Liu
Zhenya Huang
Yonghe Zheng
Minghao Yin
Minjuan Wang
Enhong Chen
KELMAI4Ed
329
106
0
06 May 2021
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