Name
Abstract | ||
|---|---|---|
This paper proposes to study the relevance of image representations to perform graph classification. To do so, the adjacency matrix of a given graph is reordered using several matrix reordering algorithms. The resulting matrix is then converted into an image thumbnail, that is used to represent the graph. Experimentation on several chemical graph data sets and an image data set show that the proposed graph representation performs as well as the state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-97785-0_14 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Graph classification,Graph representation,Matrix reordering,Chemoinformatics | Conference | 11004 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frederic Rayar | 1 | 19 | 6.54 |
| Seiichi Uchida | 2 | 790 | 105.59 |