:sparkles: :sparkles: ICDM-WWW 2024 :sparkles::sparkles:

:smile_cat: Welcome to ICDM, this is a comprehensive repository specializing in Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems published in WWW 2024.

We provide comprehensive instructions on how to run ICDM in the "exps" directory. If you're interested, please navigate to the exps directory for more information.

Requirements

dgl==1.1.2+cu116
EduCDM==0.0.13
joblib==1.2.0
networkx==2.6.3
numpy==1.23.5
pandas==1.5.2
scikit_learn==1.2.2
scipy==1.12.0
torch==1.13.1+cu117
tqdm==4.65.0
wandb==0.15.2

cd exps

Transductive Scenario

python exp.py --exp_type=cdm --method=icdm --datatype=EdNet-1 --test_size=0.2 --seed=0 --dim=64 --epoch=8 --device=cuda:0 --gcnlayers=3 --lr=1e-3 --agg_type=mean --cdm_type=glif --khop=1

Inductive Scenario

python exp_ind.py  --exp_type=ind --method=icdm --datatype=EdNet-1 --test_size=0.2 --seed=0 --dim=64 --epoch=5 --device=cuda:0 --gcnlayers=3 --lr=2e-3 --agg_type=mean --mode=train --cdm_type=glif --new_ratio=0.2 --khop=3

Experiment :clap:

We utilize wandb, a practical and effective package for visualizing our results. However, if you prefer not to use it, it can be easily disabled. https://wandb.ai/ :scroll:

Reference :thought_balloon:

Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou "Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems." In Proceedings of the ACM Web Conference, 2024.

Bibtex

@inproceedings{liu2024www,
author = {Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou},
booktitle = {Proceedings of the ACM Web Conference 2024},
title = {Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems},
year = {2024},
address={Singapore}
}