Nicholas Halliwell, Fabien Gandon, Freddy Lécué. Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs. In Jing He 0004, Rainer Unland, Eugene Santos Jr., Xiaohui Tao, Hemant Purohit, Willem-Jan van den Heuvel, John Yearwood, Jie Cao 0008, editors, WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021. pages 178-185, ACM, 2021. [doi]
@inproceedings{HalliwellGL21-1,
title = {Linked Data Ground Truth for Quantitative and Qualitative Evaluation of Explanations for Relational Graph Convolutional Network Link Prediction on Knowledge Graphs},
author = {Nicholas Halliwell and Fabien Gandon and Freddy Lécué},
year = {2021},
doi = {10.1145/3486622.3493921},
url = {https://doi.org/10.1145/3486622.3493921},
researchr = {https://researchr.org/publication/HalliwellGL21-1},
cites = {0},
citedby = {0},
pages = {178-185},
booktitle = {WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021},
editor = {Jing He 0004 and Rainer Unland and Eugene Santos Jr. and Xiaohui Tao and Hemant Purohit and Willem-Jan van den Heuvel and John Yearwood and Jie Cao 0008},
publisher = {ACM},
isbn = {978-1-4503-9115-3},
}