24 citations · 52 across the 9 of their papers we have counts for
9 papers
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang, Ziyu Guan, Zhe Wang +4
Recent self-supervised pre-training methods on Heterogeneous Information Networks (HINs) have shown promising competitiveness over traditional semi-supervised Heterogeneous Graph N…
Random Ensemble Reinforcement Learning for Traffic Signal Control
Ruijie Qi, Jianbin Huang, He Li +3
Traffic signal control is a significant part of the construction of intelligent transportation. An efficient traffic signal control strategy can reduce traffic congestion, improve…
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction
He Li, Shiyu Zhang, Xuejiao Li +6
Detectors with high coverage have direct and far-reaching benefits for road users in route planning and avoiding traffic congestion, but utilizing these data presents unique challe…
Association Rules Enhanced Knowledge Graph Attention Network
Zhenghao Zhang, Jianbin Huang, Qinglin Tan
Most existing knowledge graphs suffer from incompleteness. Embedding knowledge graphs into continuous vector spaces has recently attracted increasing interest in knowledge base com…
Multi-View Dynamic Heterogeneous Information Network Embedding
Zhenghao Zhang, Jianbin Huang, Qinglin Tan
Most existing Heterogeneous Information Network (HIN) embedding methods focus on static environments while neglecting the evolving characteristic of realworld networks. Although se…
A Semantic-Rich Similarity Measure in Heterogeneous Information Networks
Yu Zhou, Jianbin Huang, Heli Sun
Measuring the similarities between objects in information networks has fundamental importance in recommendation systems, clustering and web search. The existing metrics depend on t…
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks
Yu Zhou, Jianbin Huang, Heli Sun +1
Similarity measure as a fundamental task in heterogeneous information network analysis has been applied to many areas, e.g., product recommendation, clustering and Web search. Most…
Efficient Destination Prediction Based on Route Choices with Transition Matrix Optimization
Zhou Yang, Heli Sun, Jianbin Huang +3
Destination prediction is an essential task in a variety of mobile applications. In this paper, we optimize the matrix operation and adapt a semi-lazy framework to improve the pred…
Backward Path Growth for Efficient Mobile Sequential Recommendation
Jianbin Huang, Xuejun Huangfu, Heli Sun +2
The problem of mobile sequential recommendation is presented to suggest a route connecting some pick-up points for a taxi driver so that he/she is more likely to get passengers wit…