Alternatives and similar repositories for gbssl:

Users that are interested in gbssl are comparing it to the libraries listed below

• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆40Updated 8 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• nate-russell / Network-Embedding-Resources
  Network Embedding Survey and Resources
  ☆40Updated 8 years ago
• psorianom / modified_adsorption
  Python implementation of the random-walk inductive classification algorithm Modified Adsorption from P. Talukdar
  ☆15Updated 10 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• iitml / AL
  Active Learning
  ☆56Updated 9 years ago
• MKLab-ITI / reveal-graph-embedding
  Implementation of community-based graph embedding for user classification.
  ☆27Updated 5 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆130Updated 7 years ago
• ShelsonCao / GraRep
  Source Code of GraRep
  ☆52Updated 7 years ago
• yamaguchiyuto / label_propagation
  Implementations of label propagation like algorithms
  ☆82Updated 8 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• nzhiltsov / Ext-RESCAL
  Scalable tensor factorization
  ☆54Updated 9 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• deerishi / graph-based-semi-supervised-learning
  This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…
  ☆14Updated 8 years ago
• fuweijie / AER
  scalable active learning by approximated error reduction
  ☆11Updated 4 years ago
• ntumslab / PRUNE
  PRUNE: Preserving Proximity and Global Ranking for Network Embedding
  ☆44Updated 6 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• thunlp / TADW
  Network Representation Learning with Rich Text Information (IJCAI 2015)
  ☆47Updated 7 years ago
• phdowling / mSDA
  Python implementation of (linear) Marginalized Stacked Denoising Autoencoder (mSDA), as well as dense Cohort of Terms (dCoT). Based on Ma…
  ☆27Updated 4 years ago
• hsoleimani / MLTM
  ☆25Updated 8 years ago
• parthatalukdar / junto
  This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms ar…
  ☆151Updated 7 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• libofang / DV-ngram
  code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"
  ☆25Updated 8 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 7 years ago
• tsoumakas / mulan
  ☆61Updated 2 years ago
• ntumslab / AttriRank
  AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes
  ☆22Updated 7 years ago
• thunlp / MMDW
  Max-margin DeepWalk
  ☆71Updated 7 years ago
• kzhai / PyLDA
  A Latent Dirichlet Allocation implementation in Python.
  ☆51Updated 6 years ago