MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. - Carl Yang 001; Aditya Pal; Andrew Zhai; Nikil Pancha; Jiawei Han 001; Charles Rosenberg 001; Jure Leskovec (KDD, 2020)

Rankboost+: an improvement to Rankboost. - Harold S. Connamacher; Nikil Pancha; Rui Liu 013; Soumya Ray (Mach. Learn., 2020)

Practical Automatic Thumbnail Generation for Short Videos. - Bin Shen; Nikil Pancha; Andrew Zhai; Charles Rosenberg 001 (IMAWM, 2021)

ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. - Paul Baltescu; Haoyu Chen; Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

PinnerFormer: Sequence Modeling for User Representation at Pinterest. - Nikil Pancha; Andrew Zhai; Jure Leskovec; Charles Rosenberg 001 (KDD, 2022)

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. - Saket Gurukar; Nikil Pancha; Andrew Zhai; Eric Kim; Samson Hu; Srinivasan Parthasarathy 001; Charles Rosenberg 001; Jure Leskovec (Proc. VLDB Endow., 2022)

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. - Xue Xia 007; Pong Eksombatchai; Nikil Pancha; Dhruvil Deven Badani; Po-Wei Wang; Neng Gu; Saurabh Vishwas Joshi; Nazanin Farahpour; Zhiyuan Zhang; Andrew Zhai (KDD, 2023)

OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search. - Prabhat Agarwal; Minhazul Islam SK; Nikil Pancha; Kurchi Subhra Hazra; Jiajing Xu; Chuck Rosenberg 001 (WWW (Companion Volume), 2024)

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation. - Xue Xia 007; Saurabh Vishwas Joshi; Kousik Rajesh; Kangnan Li; Yangyi Lu; Nikil Pancha; Dhruvil Deven Badani; Jiajing Xu; Pong Eksombatchai (CoRR, 2025)