Yifan Wang
6 papers in the PaperMetrix corpus
Papers by this author
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TGNN: A Joint Semi-supervised Framework for Graph-level Classification
2022
This paper studies semi-supervised graph classification, a crucial task with a wide range of applications in social network analysis and bioinformatics. Recent works typically adopt graph neural networks to learn graph-level representations for classification, failing …
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DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
2024 · arXiv (Cornell University)
Recommender systems are widely used in various real-world applications, but they often encounter the persistent challenge of the user cold-start problem. Cross-domain recommendation (CDR), which leverages user interactions from one domain to improve prediction performance …
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Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
2025
Diffusion models have demonstrated impressive capabilities in synthesizing diverse content. However, despite their high-quality outputs, these models often perpetuate social biases, including those related to gender and race. These biases can potentially contribute to harmful …
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Commenotes: Synthesizing Organic Comments to Support Community-Based Fact-Checking
2025 · arXiv (Cornell University)
Community-based fact-checking is promising to reduce the spread of misleading posts at scale. However, its effectiveness can be undermined by the delays in fact-check delivery. Notably, user-initiated organic comments often contain debunking information and have …
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Session-Based Social Recommendation via Dynamic Graph Attention Networks
2019
Online communities such as Facebook and Twitter are enormously popular and have become an essential part of the daily life of many of their users. Through these platforms, users can discover and create information that …
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A Survey on the Fairness of Recommender Systems
2022 · ACM Transactions on Information Systems
Recommender systems are an essential tool to relieve the information overload challenge and play an important role in people’s daily lives. Since recommendations involve allocations of social resources (e.g., job recommendation), an important issue is …