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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

network embedding

biblio

Visible to the public Binarized Attributed Network Embedding via Neural Networks

Submitted by grigby1 on Tue, 02/23/2021 - 2:36pm
  • Hamming space
  • Knowledge engineering
  • autoencoder
  • attribute similarity penalizing term
  • Attributed Network
  • binary code learning
  • data reduction
  • dimension reduction
  • feature aggregation
  • network coding
  • learned binary representation vectors
  • network embedding
  • node classification
  • node clustering
  • relaxation-quantization method
  • unsupervised neural based binarized attributed network embedding
  • Weisfeiler-Lehman Proximity Matirx
  • Weisfeiler-Lehman proximity matrix
  • composability
  • feature extraction
  • Neural networks
  • pubcrawl
  • Metrics
  • resilience
  • Resiliency
  • matrix algebra
  • optimization
  • learning (artificial intelligence)
  • Data mining
  • pattern classification
  • neural nets
  • Task Analysis
  • network theory (graphs)
  • pattern clustering
  • Binary codes
  • neural network training
biblio

Visible to the public Learning Deep Network Representations with Adversarially Regularized Autoencoders

Submitted by grigby1 on Wed, 05/01/2019 - 11:27am
  • autoencoder
  • GANs
  • Generative Adversarial Learning
  • generative adversarial networks
  • Metrics
  • network embedding
  • pubcrawl
  • Resiliency
  • Scalability
biblio

Visible to the public From Properties to Links: Deep Network Embedding on Incomplete Graphs

Submitted by grigby1 on Mon, 12/10/2018 - 11:31am
  • deep learning
  • pubcrawl
  • composability
  • trustworthiness
  • incomplete graph
  • network embedding

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