Yangzhe Kong
  • Bio
  • Papers
  • Experience
  • Projects
  • Teaching
  • Projects
  • Experience
  • Teaching
    • CS 109 Introduction to Computer Programming at George Mason University
  • Blog
    • Research Proposal on Trajectory Prediction
    • Slides
    • Slides
  • Projects
    • Point Cloud-based TNT for Trajectory Prediction
    • Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
    • Path-Link Graph Neural Network for IP Network Performance Prediction
    • A2C Agent for playing Wimblepong with pretrained VAE as the encoder
    • Bayesian Data Analysis: mtcars
    • Complex Network Final Project
    • Literature Review for Deep Bolzmann Machine and Deep Belief Nets
  • Publications
    • Learning to Solve Soft-Constrained Vehicle Routing Problems with Lagrangian Relaxation
    • Path-Link Graph Neural Network for IP Network Performance Prediction

Complex Network Final Project

Dec 15, 2019 · 1 min read
PDF Code

This project served as the final project of course CS-E5740 Complex Networks, Aalto University. The code is available here, the final report is available here.

Last updated on Dec 15, 2019
Complex Network
Yangzhe Kong
Authors
Yangzhe Kong
PhD Student
← Bayesian Data Analysis: mtcars Dec 15, 2019
Literature Review for Deep Bolzmann Machine and Deep Belief Nets May 31, 2019 →

© 2024 Yangzhe Kong. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.