In order to pay more attention to the long-tail items and debias the popular bias, we propose a Bilateral-Branch Graph Neural Network(BiGNN). In the long- tail ...

In order to pay more attention to the long-tail items and debias the popular bias, we propose a Bilateral-Branch Graph Neural Network(BiGNN). In the long- tail ...

Extensive experiments on three real-world datasets show that BiGNN evidently outperforms the state-of- the-art methods consistently. Index Terms—Popularity Bias ...

In order to pay more attention to the long-tail items and debias the popular bias, we propose a Bilateral-Branch Graph Neural Network(BiGNN). In the long- tail ...

BiGNN: A Bilateral-Branch Graph Neural Network to Solve Popularity Bias in Recommendation. Y. Kou, N. Gao, Y. Zhang, C. Tu, and C. Ma. ICTAI, page 840-847.

Yingshuai Kou, Neng Gao, Yifei Zhang, Chenyang Tu, Cunqing Ma: BiGNN: A Bilateral-Branch Graph Neural Network to Solve Popularity Bias in Recommendation.

Jul 2, 2024 · Bignn: A bilateral-branch graph neural network to solve popularity bias in recommendation. In 2022 IEEE 34th International Conference on ...

Bignn: A bilateral-branch graph neural network to solve popularity bias in recommendation. Y Kou, N Gao, Y Zhang, C Tu, C Ma. 2022 IEEE 34th International ...

Jul 1, 2024 · In this paper, we discuss the potential reasons for popularity bias and review existing approaches to detect, quantify and mitigate popularity bias in ...

Test Time Embedding Normalization for Popularity Bias Mitigation · BiGNN: A Bilateral-Branch Graph Neural Network to Solve Popularity Bias in Recommendation.