Alternatives and similar repositories for ntds_2016

Users that are interested in ntds_2016 are comparing it to the libraries listed below

• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 8 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 6 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• ShelsonCao / DNGR
  Source Code of DNGR
  ☆42Updated 8 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 6 years ago
• ShelsonCao / GraRep
  Source Code of GraRep
  ☆52Updated 7 years ago
• mdeff / ntds_2017
  Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
  ☆66Updated 5 years ago
• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• annamalai-nr / subgraph2vec_gensim
  Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…
  ☆42Updated 8 years ago
• fps7806 / Graph-CNN
  Implementation of https://arxiv.org/abs/1703.00792.
  ☆46Updated 7 years ago
• microsoft / graph-partition-neural-network-samples
  Sample Code for Graph Partition Neural Networks
  ☆94Updated 6 years ago
• nate-russell / Network-Embedding-Resources
  Network Embedding Survey and Resources
  ☆40Updated 8 years ago
• xiaohan2012 / sdne-keras
  Keras implementation of Structural Deep Network Embedding, KDD 2016
  ☆92Updated 7 years ago
• thunlp / MMDW
  Max-margin DeepWalk
  ☆71Updated 8 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆51Updated 8 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆40Updated 8 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 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
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• yamaguchiyuto / label_propagation
  Implementations of label propagation like algorithms
  ☆82Updated 8 years ago
• MdAsifKhan / DNGR-Keras
  Learning graph representations using autoencoder
  ☆51Updated 8 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆134Updated 6 years ago
• premgopalan / svinet
  Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…
  ☆73Updated 4 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 8 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• Tixierae / graph_2D_CNN
  Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…
  ☆77Updated 5 years ago
• nzhiltsov / Ext-RESCAL
  Scalable tensor factorization
  ☆54Updated 10 years ago
• horacepan / gnns
  Collection of graph neural networks in pytorch
  ☆50Updated 7 years ago
• xbresson / spatial_graph_convnets
  PyTorch implementation of residual gated graph ConvNets, ICLR’18
  ☆122Updated 6 years ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago