We present a model of graph understanding and describe our implementation of the model in a computer program called SKETCHY. SKETCHY uses a combination of general graph knowledge and domain knowledge to describe graphs, an-swer questions, perform comparative analyses, and detect contradictions in problem solving assumptions. SKETCHY has generated reasonable graph summaries for 65 graphs from multiple domains. SKETCHY illustrates the robust-ness of our model of graph understanding
Many diagrams encountered in numerous areas can be modeled as graphs. Examples include UML diagrams,...
Recent decades have witnessed the prosperity of deep learning which has revolutionized a broad varie...
Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The do...
Abstract: The main thesis of this paper is that intricate nature of software systems can, and in our...
Abstract. Research on graph comprehension has been concerned with relatively low-level information e...
Current models of graph understanding typically address the encoding and interpretive processes invo...
Nowadays, when most information includes a lot of data, graphs are becoming an important resource. A...
The current theories of graph comprehension have posited the graph schema as providing us the necess...
In this paper we examine how people represent graphical information. We present a constrained graphi...
Abstract—We introduce an interactive graph generator, GreenSketch, designed to facilitate the creati...
Sometimes the best way to understand a set of data is to sketch a simple graph. This exercise can re...
This paper reports the case of a form six (grade 12) Hong Kong student’s exploration of graph sketch...
Abstract — The field of mathematics plays important role in most of fields. The most important areas...
The use of graphs to represent and reason about data is of growing importance in pre-high school mat...
Our purpose is to bring together perspectives concerning the processing and use of statistical graph...
Many diagrams encountered in numerous areas can be modeled as graphs. Examples include UML diagrams,...
Recent decades have witnessed the prosperity of deep learning which has revolutionized a broad varie...
Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The do...
Abstract: The main thesis of this paper is that intricate nature of software systems can, and in our...
Abstract. Research on graph comprehension has been concerned with relatively low-level information e...
Current models of graph understanding typically address the encoding and interpretive processes invo...
Nowadays, when most information includes a lot of data, graphs are becoming an important resource. A...
The current theories of graph comprehension have posited the graph schema as providing us the necess...
In this paper we examine how people represent graphical information. We present a constrained graphi...
Abstract—We introduce an interactive graph generator, GreenSketch, designed to facilitate the creati...
Sometimes the best way to understand a set of data is to sketch a simple graph. This exercise can re...
This paper reports the case of a form six (grade 12) Hong Kong student’s exploration of graph sketch...
Abstract — The field of mathematics plays important role in most of fields. The most important areas...
The use of graphs to represent and reason about data is of growing importance in pre-high school mat...
Our purpose is to bring together perspectives concerning the processing and use of statistical graph...
Many diagrams encountered in numerous areas can be modeled as graphs. Examples include UML diagrams,...
Recent decades have witnessed the prosperity of deep learning which has revolutionized a broad varie...
Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The do...