Alternatives and similar repositories for streaming-vis-pca:

Users that are interested in streaming-vis-pca are comparing it to the libraries listed below

• HanKruiger / tsNET
  Source code accompanying the submission to EuroVis 2017
  ☆30Updated 10 months ago
• paulorauber / thesne
  t-SNE and dynamic t-SNE in theano
  ☆76Updated 6 years ago
• Jokeren / gBolt
  gBolt--very fast implementation for gSpan algorithm in data mining
  ☆56Updated 3 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆124Updated last year
• kfoynt / LocalGraphClustering
  ☆137Updated 4 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆27Updated last year
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆59Updated 5 years ago
• nphdang / GE-FSG
  Graph Embedding via Frequent Subgraphs
  ☆44Updated 4 years ago
• ZJULearning / AtSNE
  Anchor-t-SNE for large-scale and high-dimension vector visualization
  ☆55Updated 5 years ago
• matthklein / fair_k_center_clustering
  Code for our paper "Fair k-Center Clustering for Data Summarization"
  ☆12Updated 5 years ago
• YixuanLi / LEMON
  LEMON: A local algorithm for fast, high-precision overlapping community detection
  ☆54Updated 7 years ago
• rmgarnett / fast_wl
  A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.
  ☆11Updated 7 years ago
• Nicola17 / High-Dimensional-Inspector
  Scalable analysis of large high-dimensional data
  ☆66Updated 5 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• tbonald / paris
  Hierarchical graph clustering
  ☆38Updated 6 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated last year
• angeloschatzimparmpas / t-viSNE
  t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
  ☆17Updated 2 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆90Updated last week
• kd383 / NetworkDOS
  Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
  ☆25Updated 5 years ago
• benedekrozemberczki / RolX
  An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
  ☆70Updated 2 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆47Updated 4 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 8 years ago
• noycohen100 / AutoGRD
  AutoGRD is a meta-learning method for algorithm recommendation
  ☆16Updated 5 years ago
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆50Updated 2 years ago
• saehm / hagrid
  ☆15Updated 6 months ago
• dkaslovsky / GraphRole
  Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
  ☆86Updated 8 months ago
• jxz12 / s_gd2
  Stress-based Graph Drawing by Stochastic Gradient Descent
  ☆47Updated 2 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 6 years ago
• myaooo / pysbrl
  Python Interface of the Scalable Bayesian Rule Lists
  ☆19Updated 5 years ago