Semantic content-based image retrieval: A comprehensive study

A Alzu'bi, A Amira, N Ramzan - Journal of Visual Communication and …, 2015 - Elsevier
The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for develo** highly effective retrieval systems to satisfy …

An overview of distance and similarity functions for structured data

S Ontañón - Artificial Intelligence Review, 2020 - Springer
The notions of distance and similarity play a key role in many machine learning approaches,
and artificial intelligence in general, since they can serve as an organizing principle by …

Graph neural networks: foundation, frontiers and applications

L Wu, P Cui, J Pei, L Zhao, X Guo - … of the 28th ACM SIGKDD Conference …, 2022 - dl.acm.org
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Simgnn: A neural network approach to fast graph similarity computation

Y Bai, H Ding, S Bian, T Chen, Y Sun… - Proceedings of the twelfth …, 2019 - dl.acm.org
Graph similarity search is among the most important graph-based applications, eg finding
the chemical compounds that are most similar to a query compound. Graph …

Data Mining The Text Book

C Aggarwal - 2015 - Springer
This textbook explores the different aspects of data mining from the fundamentals to the
complex data types and their applications, capturing the wide diversity of problem domains …

Deep graph matching consensus

M Fey, JE Lenssen, C Morris, J Masci… - arxiv preprint arxiv …, 2020 - arxiv.org
This work presents a two-stage neural architecture for learning and refining structural
correspondences between graphs. First, we use localized node embeddings computed by a …

Thirty years of graph matching in pattern recognition

D Conte, P Foggia, C Sansone… - International journal of …, 2004 - World Scientific
A recent paper posed the question:" Graph Matching: What are we really talking about?". Far
from providing a definite answer to that question, in this paper we will try to characterize the …

Fifty years of graph matching, network alignment and network comparison

F Emmert-Streib, M Dehmer, Y Shi - Information sciences, 2016 - Elsevier
In this paper we survey methods for performing a comparative graph analysis and explain
the history, foundations and differences of such techniques of the last 50 years. While …

A survey of graph edit distance

X Gao, B **ao, D Tao, X Li - Pattern Analysis and applications, 2010 - Springer
Inexact graph matching has been one of the significant research foci in the area of pattern
analysis. As an important way to measure the similarity between pairwise graphs error …

A graph distance metric based on the maximal common subgraph

H Bunke, K Shearer - Pattern recognition letters, 1998 - Elsevier
Error-tolerant graph matching is a powerful concept that has various applications in pattern
recognition and machine vision. In the present paper, a new distance measure on graphs is …