Matthew Kolodner

According to our database, Matthew Kolodner authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Training Industry-scale GNNs with GiGL.

Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

GiGL: Large-Scale Graph Neural Networks at Snapchat.

Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.

Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu

Proceedings of the Workshop Design, 2024

2023

Building Coverage Estimation with Low-resolution Remote Sensing Imagery.

Enci Liu, Chenlin Meng, Matthew Kolodner, Eun Jee Sung, Sihang Chen, Marshall Burke, David B. Lobell, Stefano Ermon

CoRR, 2023