Results 281 to 290 of about 845,850 (303)

On Lipschitz Embeddings of Graphs

2008
In pattern recognition and related fields, graph based representations offer a versatile alternative to the widely used feature vectors. Therefore, an emerging trend of representing objects by graphs can be observed. This trend is intensified by the development of novel approaches in graph based machine learning, such as graph kernels or graph ...
Kaspar Riesen, Horst Bunke
openaire   +1 more source

Embedding of graphs in two-irregular graphs

Journal of Graph Theory, 2001
As shown by the authors in the abstract, a graph is 2-irregular if there are at most 2 vertices of the same degree in the graph. The authors prove that every graph of order \(n\) with maximum degree at most \(\frac{n}{8}-O(n^{\frac{3}{2}})\) can be embedded into a 2-irregular graph.
Maria Axenovich, Zoltán Füredi
openaire   +3 more sources

Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks

IEEE Transactions on Neural Networks and Learning Systems, 2022
Neal N. Xiong, Zhaoli Zhang, Tingting Liu   +2 more
exaly  

Unsupervised Graph Embedding via Adaptive Graph Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Rui Zhang, Yunxing Zhang, Xuelong Li
exaly  

One-Hot Graph Encoder Embedding

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Carey E. Priebe, Cencheng Shen
exaly  

Graph Clustering via Variational Graph Embedding

Pattern Recognition, 2022
Qun Dai
exaly  

Learning knowledge graph embedding with a dual-attention embedding network

Expert Systems With Applications, 2023
Yangdong Ye, Haichuan Fang, Youwei Wang
exaly  

Influence maximization in social networks using graph embedding and graph neural network

Information Sciences, 2022
Sanjay Kumar, Abhishek Mallik, B S Panda
exaly  

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

IEEE Transactions on Big Data, 2023
Philip S. Yu, Chuan Shi, Xiao Wang
exaly  

GPENs: Graph Data Learning With Graph Propagation-Embedding Networks

IEEE Transactions on Neural Networks and Learning Systems, 2023
Jin Tang, Bin Luo, Bo Jiang
exaly