In this paper, we introduce GBI for general graph structured data, which can handle directed/undirected, colored/uncolored graphs with/without (self) loop and ...
Oct 19, 2001 · We, further, show that GBI can effiectively be applied to the extraction of typical patterns from chemical compound data from which to generate ...
In this paper, we introduce Graph-Based Induction for general graph structured data, which can handle directed/undirected, colored/uncolored graphs with/without ...
Graph-Based Induction for General Graph Structured Data and Its ...
link.springer.com › content › pdf
Data having graph structure are abound in many practical fields such as molecu- lar structures of chemical compounds, information flow patterns in the internet,.
In this paper, we introduce GBI for general graph structured data, which can handle directed/undirected, colored/uncolored graphs with/without (self) loop and ...
In this paper, we introduce GBI for general graph structured data, which can handle directed/undirected, colored/uncolored graphs with/without (self) loop and ...
The capability of the Graph-Based Induction is expanded to handle not only tree structured data but also multi-inputs/outputs nodes and loop structure ...
A machine learning technique called Graph-Based Induction (GBI) efficiently extracts typical patterns from directed graph data by stepwise pair expansion ...
Abstract. A machine learning technique called Graph-Based Induction. (GBI) e ciently extracts typical patterns from directed graph data by.
Missing: Compound | Show results with:Compound
This paper is intended as a step towards a theoretically sound approach to learning from graphs, by applying ideas from the field of grammar induction. We ...
Missing: Chemical | Show results with:Chemical