A deep learning framework for graphlet count estimation

A deep learning framework for graphlet count estimation - Hal-Inria

Moreover, our framework can be easily extended to estimate other k-node graphlet counts (e.g., 6-node graphlets) without changing the learning ...

A deep learning framework for graphlet count estimation - CUHK CSE

Moreover, our framework can be easily extended to estimate other k-node graphlet counts (e.g., 6-node graphlets) without changing the learning ...

Learning to count: A deep learning framework for graphlet count ...

This provides an opportunity to speed up the graphlet count estimation procedure by exploiting this correlation via learning methods. In this ...

A deep learning framework for graphlet count estimation

In this paper, we raise a novel graphlet count learning (GCL) problem: given a set of historical graphs with known graphlet counts, how to learn to estimate/ ...

A deep learning framework for graphlet count estimation

Graphlets are defined as k-node connected induced subgraph patterns. For an undirected graph, 3-node graphlets include close triangle and open ...

A deep learning framework for graphlet count estimation

A deep learning framework which contains two convolutional neural network models and a series of data preprocessing techniques to solve the GCL problem, ...

A deep learning framework for graphlet count estimation - EBSCOhost

Moreover, our framework can be easily extended to estimate other k-node graphlet counts (e.g., 6-node graphlets) without changing the learning model. The rest ...

Learning to count: A deep learning framework for graphlet count ...

In this paper, we raise a novel graphlet count learning (GCL) problem: given a set of historical graphs with known graphlet counts, how to learn to estimate/ ...

A deep learning framework for graphlet count estimation

摘要Graphlet counting is a widely explored problem in network analysis and has been successfully applied to a variety of applications in many domains, ...

A deep learning framework for graphlet count estimation - Book学术

Abstract：Abstract Graphlet counting is a widely explored problem in network analysis and has been successfully applied to a variety of applications in many ...

Graphlet Count Estimation via Convolutional Neural Networks - arXiv

Based on this idea, we propose a convolutional neural network (CNN) framework and two preprocessing techniques to estimate graphlet count.

‪Yu-Zhen Janice CHEN‬ - ‪Google Scholar‬

Learning to count: A deep learning framework for graphlet count estimation. X Liu, YZJ Chen, JCS Lui, K Avrachenkov. Network Science, 1-38, 2020. 7, 2020.

Graph Neural Networks (Chapter 5) - Deep Learning on Graphs

Algorithms and Models for Network Data and Link Analysis. Published online: 5 July 2016. Learning to count: A deep learning framework for graphlet count ...

Graphlet Count Estimation via Convolutional Neural Networks - Inria

Based on this idea, we propose a convolutional neural network (CNN) framework and two preprocessing techniques to estimate graphlet count. Extensive ...

Graphlet Count Estimation via Convolutional Neural Networks - ar5iv

Based on this idea, we propose a convolutional neural network (CNN) framework and two preprocessing techniques to estimate graphlet count. 1 11Our code is ...

(PDF) Graphlet Count Estimation via Convolutional Neural Networks

Based on this idea, we propose a convolutional neural network (CNN) framework and two preprocessing techniques to estimate graphlet count.

A General and Space-efficient Framework for Graphlet Counting in ...

Extensive experiments over large real-world graph streams prove that our algorithm can obtain accurate estimation values of graphlet counts with ...

Estimation of Graphlet Counts in Massive Networks - IEEE Xplore

count estimation, graphlet statistics, parallel algorithms, higher- order network analysis, machine learning. ... Overview of the LGE framework for estimating ...

A General Framework for Estimating Graphlet Statistics via Random ...

This work proposes a general and novel framework to estimate graphlet statistics of "any size" based on collecting samples through consecutive steps of ...

Estimation of Graphlet Counts in Massive Networks - Ryan A. Rossi

4 Furthermore, a number of important machine learning tasks are likely to benefit from the proposed graphlet estimation framework, including graph anomaly ...