An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms. - Kanika Narang; Chaoqi Yang; Adit Krishnan; Junting Wang 001; Hari Sundaram; Carolyn Sutter (CoRR, 2019)

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (ICDM, 2020)

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (RecSys, 2021)

Ranking User-Generated Content via Multi-Relational Graph Convolution. - Kanika Narang; Adit Krishnan; Junting Wang 001; Chaoqi Yang; Hari Sundaram; Carolyn Sutter (SIGIR, 2021)

Self-supervised role learning for graph neural networks. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (Knowl. Inf. Syst., 2022)

Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems. - Junting Wang 001; Adit Krishnan; Hari Sundaram; Yunzhe Li (CoRR, 2023)

A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics. - Junting Wang 001; Praneet Rathi; Hari Sundaram (RecSys, 2024)

A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer. - Junting Wang 001; Praneet Rathi; Hari Sundaram (CoRR, 2024)

A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation. - Yunzhe Li; Junting Wang 001; Hari Sundaram; Zhining Liu 002 (CoRR, 2025)

Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items. - Junting Wang 001; Chenghuan Guo; Jiao Yang; Yanhui Guo; Yan Gao; Hari Sundaram (CoRR, 2025)