MVE

Multi-view Enhanced Zero-Shot Node Classification

This project is the code for our IP&M Journal paper, Multi-view Enhanced Zero-Shot Node Classification, which is the optimized and advanced version of our IJCAI paper, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.

@article{WANG2023103479,
title = {Multi-view enhanced zero-shot node classification},
journal = {Information Processing & Management},
volume = {60},
number = {6},
pages = {103479},
year = {2023},
issn = {0306-4573},
doi = {https://doi.org/10.1016/j.ipm.2023.103479},
url = {https://www.sciencedirect.com/science/article/pii/S0306457323002169},
author = {Jiahui Wang and Likang Wu and Hongke Zhao and Ning Jia},
}

@inproceedings{ijcai2023p262,
  title     = {KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification},
  author    = {Wu, Likang and Jiang, Junji and Zhao, Hongke and Wang, Hao and Lian, Defu and Zhang, Mengdi and Chen, Enhong},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {2361--2369},
  year      = {2023},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2023/262},
  url       = {https://doi.org/10.24963/ijcai.2023/262},
}