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Heterogeneous Topological-Aware Debiasing

Implementation of ECAI 2025 paper "Exploring Topological Bias in Heterogeneous Graph Neural Networks".

Data preparation

Download datasets provided by [1].

[1] Q. Lv, M. Ding, Q. Liu, Y. Chen, W. Feng, S. He, C. Zhou, J. Jiang, Y. Dong, and J. Tang. Are we really making much progress? revisiting, benchmarking and refining heterogeneous graph neural networks. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pages 1150–1160, 2021.

Investigate topological bias in HGNNs

cd src/scripts
bash run_deg.py

Run the proposed method on three datasets

ACM dataset

cd src/scripts
bash run_acm.sh

IMDB dataset

cd src/scripts
bash run_imdb.sh

DBLP dataset

cd src/scripts
bash run_dblp.sh

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Implementation for "Exploring Topological Bias in Heterogeneous Graph Neural Networks"

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