README.md

🌟 New! ABLkit released: A toolkit for Abductive Learning with high flexibility, user-friendly interface, and optimized performance. Welcome to try it out!🚀

Enabling Abductive Learning to Exploit Knowledge Graph

This is the sample code of the experiments in Enabling Abductive Learning to Exploit Knowledge Graph in IJCAI 2023.

Four experiments are included in the paper. Please refer to each folder for each experiment:

• Animal Classification (animal_classification)
• Entity Alignment (entity_alignment)
• Link Prediction (link_prediction)
• Image Classification (image_classification)

Reference

@inproceedings{ABL-KG2023Huang,
  author     = {Huang, Yu-Xuan and Sun, Zequn and Li, Guangyao and Tian, Xiaobin and Dai, Wang-Zhou and Hu, Wei and Jiang, Yuan and Zhou, Zhi-Hua},
  title      = {Enabling Abductive Learning to Exploit Knowledge Graph},
  booktitle  = {Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23)},
  pages      = {3839--3847},
  year       = {2023}
}