research
∙
10/19/2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Recent self-supervised pre-training methods on Heterogeneous Information...
share
research
∙
03/10/2022
Random Ensemble Reinforcement Learning for Traffic Signal Control
Traffic signal control is a significant part of the construction of inte...
research
∙
11/14/2020
Association Rules Enhanced Knowledge Graph Attention Network
Most existing knowledge graphs suffer from incompleteness. Embedding kno...
research
∙
11/12/2020
Multi-View Dynamic Heterogeneous Information Network Embedding
Most existing Heterogeneous Information Network (HIN) embedding methods ...
research
∙
05/27/2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Graph Convolutional Network (GCN) has achieved extraordinary success in ...
research
∙
01/02/2018
A Semantic-Rich Similarity Measure in Heterogeneous Information Networks
Measuring the similarities between objects in information networks has f...
research
∙
12/25/2017
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks
Similarity measure as a fundamental task in heterogeneous information ne...
research
∙
12/25/2017
DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks
Similarity measure as a fundamental task in heterogeneous information ne...
research
∙
11/08/2017