Pak Lon Ip

According to our database, Pak Lon Ip authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.

Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings.

Rongqin Chen, Yan Li, Dan Wu, Fan Mo, Shenghui Zhang, Pak Lon Ip, Hoi Cheong Iam, Ye Li, Leong Hou U

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

Large-Scale Spatiotemporal Kernel Density Visualization.

Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks.

Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification.

Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures.

Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems.

Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics.

Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu

Proc. VLDB Endow., 2022

2021

KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis.

Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng

Proc. VLDB Endow., 2021

SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization.

Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu

Proc. VLDB Endow., 2021

SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization.

Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu

Proc. VLDB Endow., 2021