mespadoto / proj-quant-eval

Related projects ⓘ

Alternatives and complementary repositories for proj-quant-eval

• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆77Updated 2 months ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆133Updated 5 years ago
• mperrot / ComparisonHC
  Python implementation of several comparison-based hierarchical clustering algorithms.
  ☆7Updated 2 years ago
• floklimm / hypergraph
  Library of python functions for the analysis of hypergraphs.
  ☆13Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago
• vlivashkin / pygkernels
  Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.
  ☆18Updated 5 months ago
• TrustAGI-Lab / MGAE
  Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”
  ☆28Updated 2 years ago
• Jpickard1 / Hypergraph-Analysis-Toolbox
  A software for hypergraph and multi-way network analysis 🌐
  ☆19Updated last week
• hheidrich / CELL
  Cross Entropy Low-rank Logits for graph generation.
  ☆18Updated 3 months ago
• LPioL / MultiVERSE
  ☆17Updated 3 years ago
• GemsLab / REGAL
  Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings
  ☆92Updated 3 years ago
• tlancian / contrast-subgraph
  "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
  ☆20Updated 2 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆98Updated last year
• Passero86 / papers_with_code
  paper code with respect to classification, clustering and etc.
  ☆33Updated last year
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆71Updated 5 years ago
• HongtengXu / s-gwl
  Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
  ☆40Updated 5 years ago
• leotrs / glee
  GLEE: Geometric Laplacian Eigenmap Embedding
  ☆11Updated 4 years ago
• HanKruiger / tsNET
  Source code accompanying the submission to EuroVis 2017
  ☆29Updated 6 months ago
• HongtengXu / Relational-Factorization-Model
  Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)
  ☆30Updated 2 years ago
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• dakuang / symnmf
  Symmetric NMF for graph clustering
  ☆27Updated 6 years ago
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆73Updated last year
• jiangyangby / DM2C
  ☆12Updated 4 years ago
• yeqinglee / mvdata
  Data sets for multi-view learning.
  ☆81Updated 5 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆38Updated 11 months ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆102Updated last year
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆15Updated 4 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆174Updated last year
• egalimberti / polarized_communities
  Discovering Polarized Communities in Signed Networks
  ☆12Updated 5 years ago