Alternatives and similar repositories for rsc:

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

• quinngroup / deep-representations-clustering
  This repository is an attempt to replicate the results for the paper: "Learning Deep Representations for Graph Clustering".
  ☆21Updated 8 years ago
• crisbodnar / regularised-spectral-clustering
  Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
  ☆14Updated 5 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆30Updated 7 years ago
• leoguti85 / GraphEmbs
  Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
  ☆17Updated 5 years ago
• BorgwardtLab / MvKDR
  Multi-view Spectral Clustering on Conflicting Views
  ☆15Updated 7 years ago
• abojchevski / paican
  Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
  ☆24Updated 5 years ago
• dakuang / symnmf
  Symmetric NMF for graph clustering
  ☆29Updated 7 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 4 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆28Updated 4 years ago
• ahollocou / multicom
  Multiple Local Community Detection
  ☆17Updated 7 years ago
• oeufracio / NMF_ADMM_LR
  NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers
  ☆9Updated 7 years ago
• wOOL / STSC
  Self-Tuning Spectral Clustering Python
  ☆36Updated 6 years ago
• Ivanopolo / modnet
  Code for the paper "Unsupervised Community Detection with Modularity-based Attention Model"
  ☆36Updated 4 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• edouardpineau / Variational-Recurrent-Neural-Networks-for-Graph-Classification
  Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019
  ☆13Updated 4 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• muhanzhang / HyperLinkPrediction
  Code for "M. Zhang, Z. Cui, S. Jiang, and Y. Chen, Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space, AAAI-2018".
  ☆21Updated 6 years ago
• shuaiOKshuai / D2AGE
  The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
  ☆12Updated 7 years ago
• FilippoMB / Deep-Kernelized-Auto-Encoder-with-Time-series-Cluster-Kernel
  implementation of a Deep Kernelized Auto Encoder for learning vectorial representations of mutlivariate time series with missing data.
  ☆18Updated last month
• benedekrozemberczki / FSCNMF
  An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
  ☆20Updated 2 years ago
• benedekrozemberczki / BoostedFactorization
  An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
  ☆36Updated 2 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆75Updated 6 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆50Updated 7 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆27Updated last year
• dweiiiiiiiiii / Clustering
  ☆20Updated 6 years ago
• DEEP-PolyU / FeatWalk_AAAI19
  Large-Scale Heterogeneous Feature Embedding
  ☆15Updated 3 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago