STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. - Nicholas Lim; Bryan Hooi; See-Kiong Ng; Xueou Wang; Yong Liang Goh; Renrong Weng; Jagannadan Varadarajan (CIKM, 2020)

Origin-Aware Next Destination Recommendation with Personalized Preference Attention. - Nicholas Lim; Bryan Hooi; See-Kiong Ng; Xueou Wang; Yong Liang Goh; Renrong Weng; Rui Tan 002 (WSDM, 2021)

Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. - Nicholas Lim; Bryan Hooi; See-Kiong Ng; Yong Liang Goh; Renrong Weng; Rui Tan 002 (SIGIR, 2022)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem. - Yong Liang Goh; Wee Sun Lee; Xavier Bresson; Thomas Laurent 001; Nicholas Lim (CoRR, 2022)

Joint Triplet Loss Learning for Next New POI Recommendation. - Nicholas Lim; Bryan Hooi; See-Kiong Ng; Yong Liang Goh (CoRR, 2022)

Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. - Nicholas Lim; Bryan Hooi; See-Kiong Ng; Yong Liang Goh; Renrong Weng; Rui Tan 002 (Trans. Recomm. Syst., 2023)

Efficient Global Message Passing for Heterophilous Graphs. - Yanfei Dong; Mohammed Haroon Dupty; Lambert Deng; Yong Liang Goh; Wee Sun Lee (CIKM, 2024)

Constrained Layout Generation with Factor Graphs. - Mohammed Haroon Dupty; Yanfei Dong; Sicong Leng; Guoji Fu; Yong Liang Goh; Wei Lu 011; Wee Sun Lee (CVPR, 2024)

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. - Yong Liang Goh; Zhiguang Cao; Yining Ma 001; Yanfei Dong; Mohammed Haroon Dupty; Wee Sun Lee (KDD, 2024)

Differentiable Cluster Graph Neural Network. - Yanfei Dong; Mohammed Haroon Dupty; Lambert Deng; Zhuanghua Liu; Yong Liang Goh; Wee Sun Lee (CoRR, 2024)

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy. - Yong Liang Goh; Zhiguang Cao; Yining Ma 001; Jianan Zhou 002; Mohammed Haroon Dupty; Wee Sun Lee (CoRR, 2025)