Search Results for author: Leheng Sheng

Found 3 papers, 3 papers with code

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

1 code implementation • 21 Feb 2024 • An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang

However, we have discovered that this aggregation mechanism comes with a drawback, which amplifies biases present in the interaction graph.

Collaborative Filtering Recommendation Systems +1

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Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

1 code implementation • NeurIPS 2023 • An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua

To bridge the gap, we delve into the reasons underpinning the success of contrastive loss in CF, and propose a principled Adversarial InfoNCE loss (AdvInfoNCE), which is a variant of InfoNCE, specially tailored for CF methods.

Collaborative Filtering Contrastive Learning +3

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On Generative Agents in Recommendation

1 code implementation • 16 Oct 2023 • An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua

Recommender systems are the cornerstone of today's information dissemination, yet a disconnect between offline metrics and online performance greatly hinders their development.

Collaborative Filtering Movie Recommendation +1

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