26 citations · 38 across the 7 of their papers we have counts for
5 papers · 1 filter
Region Embedding with Intra and Inter-View Contrastive Learning
Liang Zhang, Cheng Long, Gao Cong
Unsupervised region representation learning aims to extract dense and effective features from unlabeled urban data. While some efforts have been made for solving this problem based…
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Qianru Zhang, Zheng Wang, Cheng Long +5
Detecting anomalous trajectories has become an important task in many location-based applications. While many approaches have been proposed for this task, they suffer from various…
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He, Haicang Zhou, Yew-Soon Ong +1
Graph attention networks (GATs) are powerful tools for analyzing graph data from various real-world scenarios. To learn representations for downstream tasks, GATs generally attend…
DMCS : Density Modularity based Community Search
Junghoon Kim, Siqiang Luo, Gao Cong +1
Community Search, or finding a connected subgraph (known as a community) containing the given query nodes in a social network, is a fundamental problem. Most of the existing commun…
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks
Yile Chen, Xiucheng Li, Gao Cong +5
As a fundamental component in location-based services, inferring the relationship between points-of-interests (POIs) is very critical for service providers to offer good user exper…