Synapse
⌘+K
Synapse
PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
February 21, 2024Open Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

AZAn ZhangWMWenchang MaPWPengbo Wei

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Zhang et al. (2024) studied this question.

synapsesocial.com/papers/68e785a2b6db6435876f7db7https://doi.org/10.48550/arxiv.2402.13769
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations2024
  2. 2CaDRec: Contextualized and Debiased Recommender Model2024
  3. 3GNNCL: A Graph Neural Network Recommendation Model Based on Contrastive Learning2024 · 16 citations
  4. 4How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?2024 · 17 citations
  5. 5DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback2024