LiGNN: Graph Neural Networks at LinkedIn

Author:

Borisyuk Fedor1ORCID,He Shihai1ORCID,Ouyang Yunbo1ORCID,Ramezani Morteza1ORCID,Du Peng1ORCID,Hou Xiaochen1ORCID,Jiang Chengming1ORCID,Pasumarthy Nitin1ORCID,Bannur Priya1ORCID,Tiwana Birjodh1ORCID,Liu Ping1ORCID,Dangi Siddharth1ORCID,Sun Daqi1ORCID,Pei Zhoutao1ORCID,Shi Xiao1ORCID,Zhu Sirou1ORCID,Shen Qianqi1ORCID,Lee Kuang-Hsuan1ORCID,Stein David1ORCID,Li Baolei1ORCID,Wei Haichao1ORCID,Ghoting Amol1ORCID,Ghosh Souvik1ORCID

Affiliation:

1. LinkedIn, Mountain View, CA, USA

Publisher

ACM

Reference33 articles.

1. Alaa Awad, Denisa Roberts, Eden Dolev, Andrea Heyman, Zahra Ebrahimzadeh, Zoe Weil, Marcin Mejran, Vaibhav Malpani, and Mahir Yavuz. 2023. adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads. arXiv preprint arXiv:2302.01255 (2023).

2. Aleksandar Bojchevski Johannes Gasteiger Bryan Perozzi Amol Kapoor Martin Blais Benedek Rózemberczki Michal Lukasik and Stephan Günnemann. 2020. Scaling graph neural networks with approximate pagerank. In KDD.

3. Ishita Doshi, Dhritiman Das, Ashish Bhutani, Rajeev Kumar, Rushi Bhatt, and Niranjan Balasubramanian. 2020. LANNS: a web-scale approximate nearest neighbor lookup system. arXiv preprint arXiv:2010.09426 (2020).

4. Paulius Micikevicius et al. 2018. Mixed precision training. https://doi.org/10.48550/arXiv.1710.03740

5. Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, and Jure Leskovec. 2023. Relational Deep Learning: Graph Representation Learning on Relational Databases. arxiv: cs.LG/2312.04615

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