78 citations
- Rice UniversityUS4 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Bellevue Hospital CenterUS1 paper
- East Texas A&M UniversityUS1 paper
- Expedia Group (United States)US1 paper
- Linköping UniversitySE1 paper
- Texas A&M UniversityUS1 paper
- The Ohio State UniversityUS1 paper
- University of California, DavisUS1 paper
- University of California, RiversideUS1 paper
- University of UtahUS1 paper
- Worcester Polytechnic InstituteUS1 paper
Showing cs.IRShow all
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cs.IR2022★ 7 cited
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou +4
There has been an explosion of interest in designing various Knowledge Graph Neural Networks (KGNNs), which achieve state-of-the-art performance and provide great explainability fo…
cs.IR2022★ 78 cited
Denoising Self-attentive Sequential Recommendation
Huiyuan Chen, Yusan Lin, Menghai Pan +6
Transformer-based sequential recommenders are very powerful for capturing both short-term and long-term sequential item dependencies. This is mainly attributed to their unique self…
cs.IR2020★ 66 cited
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
Adit Krishnan, Mahashweta Das, Mangesh Bendre +2
The rapid proliferation of new users and items on the social web has aggravated the gray-sheep user/long-tail item challenge in recommender systems. Historically, cross-domain co-c…