all AI news
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
Jan. 31, 2024, 3:47 p.m. | Peiyan Zhang Yuchen Yan Chaozhuo Li Senzhang Wang Xing Xie Sunghun Kim
cs.LG updates on arXiv.org arxiv.org
collaborative collaborative filtering cs.ir cs.lg current embeddings filtering gnn gnns graph graph neural networks graphs modeling networks neural networks power recommender systems recursive refine solutions systems through transformers
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
1 day, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne