Pak Lon Ip

13 papers A* 4A 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.
AAAI
Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U
2025 A conf
Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks.
CIKM
Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U
2025 J jnl
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.
CoRR
Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U
2025 — conf
Enhanced Subgraph Learning in 2-FWL GNNs via Local Connectivity, Spectral, and Distance Encodings.
KDD (2)
Rongqin Chen, Yan Li, Dan Wu, Fan Mo, Shenghui Zhang, Pak Lon Ip, Hoi Cheong Iam, Ye Li, Leong Hou U
2025 A* conf
Large-Scale Spatiotemporal Kernel Density Visualization.
ICDE
Tsz Nam Chan, Pak Lon Ip, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu, Christian S. Jensen
2025 A* conf
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification.
AAAI
Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U
2024 A* conf
HFGNN: Efficient Graph Neural Networks Using Hub-Fringe Structures.
ICDM
Pak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U
2024 J jnl
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification.
CoRR
Zijie Zhou, Zhaoqi Lu, Xuekai Wei, Rongqin Chen, Shenghui Zhang, Pak Lon Ip, Leong Hou U
2023 — conf
PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems.
SIGMOD Conference Companion
Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu
2022 J jnl
LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Kaiyan Zhao, Leong Hou U, Byron Choi, Jianliang Xu
2021 J jnl
KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li, Reynold Cheng
2021 J jnl
SAFE: A Share-and-Aggregate Bandwidth Exploration Framework for Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu
2021 J jnl
SWS: A Complexity-Optimized Solution for Spatial-Temporal Kernel Density Visualization.
Proc. VLDB Endow.
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Byron Choi, Jianliang Xu