Alternatives and similar repositories for DBTF

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

• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 7 years ago
• buddhikaum / Greedy-Sensor-Selection-for-a-Probabilistic-Graph-Signal
  Code for my publication "Efficient Sensor Selection with Application to Time Varying Graphs", in the 7th IEEE International Workshop on C…
  ☆8Updated 7 years ago
• jinohoh / WSDM17_shot
  ☆8Updated 8 years ago
• kokikwbt / MLDS
  Python implementation of multilinear dynamical systems for tensor time series (NIPS'13)
  ☆12Updated 3 years ago
• houchengbin / ABRW
  Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method
  ☆12Updated 3 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆87Updated 6 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• anomic1911 / gcn-graphsage-benchmarking
  This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.
  ☆10Updated 5 years ago
• YixuanLi / LEMON
  LEMON: A local algorithm for fast, high-precision overlapping community detection
  ☆54Updated 7 years ago
• Ktakuya332C / dbm
  Simple implementation of Deep Boltzmann Machine
  ☆14Updated 6 years ago
• crisbodnar / regularised-spectral-clustering
  Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
  ☆14Updated 5 years ago
• priba / siamese_ged
  Learning Graph Distances with Message PassingNeural Networks
  ☆13Updated 11 months ago
• benedekrozemberczki / BoostedFactorization
  An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
  ☆36Updated 2 years ago
• IBM / IPC-graph-data
  IPC: A Graph Data Set Compiled from International Planning Competitions
  ☆46Updated 5 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 4 years ago
• sbonner0 / temporal-neighbourhood-aggregation
  Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…
  ☆8Updated 4 years ago
• YuweiHuang / ABLearner
  A multi-feature fusion and any blending(stacking) learning framework based on scikit-learn.
  ☆11Updated 7 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• benedekrozemberczki / FSCNMF
  An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
  ☆20Updated 2 years ago
• TonyZZX / MultiGraph_MultiLabel_Learning
  Multi-Graph Multi-Label Learning
  ☆11Updated 7 years ago
• rusty1s / deep-learning-on-graphs
  ☆32Updated 7 years ago
• xwcao / TGAN
  Code for the paper "Tensorizing Generative Adversarial Nets"
  ☆15Updated 7 years ago
• KarypisLab / PM4GNN
  Graph partitioning for distributed GNN training
  ☆14Updated 2 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated last year
• danielegrattarola / cdt-ccm-aae
  Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)
  ☆11Updated 5 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 4 years ago
• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 5 years ago
• networkx / networkx-metis
  NetworkX Addon to allow graph partitioning with METIS
  ☆79Updated 2 years ago
• kfoynt / LocalGraphClustering
  ☆143Updated 4 years ago