Random walk based graph sampling has been recognized as a fundamental technique to collect uniform node samples from a large graph. In this paper, we first present a comprehensive analysis of the ...

Random walk on a graph is a mathematical mobility model that extends random walk to a graph. In recent years, studies have investigated various aspects of a random walk on a graph, such as analyses of ...

Introduction A random walk is a mathematical object, known as a stochastic or random process, that describes a path that consists of a succession of random steps on some mathematical space such as the ...

SILK Walking with Attention: Self-guided Walking for Heterogeneous Graph Embedding Here we provide an implementation of SILK. SILK assumes no prior knowledge or annotation is provided, and conducts a ...

To overcome the challenge of sparse reward, we develop a graph-walking agent called M-Walk, which consists of a deep recurrent neural network (RNN) and Monte Carlo Tree Search (MCTS).

Solving 'graphical' problems - AQA Example - distance graph Graphical problems will usually be linked to a real-life situation. Travel graphs, temperature graphs and conversion graphs are common ...