Alternatives and similar repositories for sgt:

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

• vermaMachineLearning / keras-deep-graph-learning
  Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
  ☆103Updated 2 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆132Updated 4 years ago
• zjost / blog_code
  A repo for holding example code
  ☆153Updated this week
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆255Updated 5 years ago
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆219Updated 3 years ago
• louisabraham / fastnode2vec
  Fast and scalable node2vec implementation
  ☆91Updated last year
• benedekrozemberczki / LabelPropagation
  A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks"…
  ☆124Updated 2 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 4 years ago
• NaegleLab / OpenEnsembles
  Code for ensemble clustering
  ☆102Updated 3 years ago
• AlexDuvalinho / GraphSVX
  Explanation method for Graph Neural Networks (GNNs)
  ☆66Updated 3 years ago
• AstraZeneca / awesome-drug-pair-scoring
  Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
  ☆94Updated 2 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆89Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• stellargraph / stellar-practical-ml-on-graphs
  Course titled Practical Machine Learning on Graphs
  ☆44Updated 4 years ago
• nphdang / GE-FSG
  Graph Embedding via Frequent Subgraphs
  ☆44Updated 4 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• peterewills / NetComp
  Comparative metrics for dynamic networks in Python
  ☆68Updated 2 years ago
• snap-stanford / mambo
  ☆37Updated 7 years ago
• lschmiddey / Autoencoder
  Autoencoder on tabular data
  ☆14Updated 4 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆124Updated last year
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated 11 months ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆134Updated 5 years ago
• shionhonda / gae-dgl
  Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.
  ☆66Updated 2 years ago
• chrsmrrs / tudataset
  ☆94Updated 2 years ago
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆59Updated 5 years ago
• benedekrozemberczki / AttentionWalk
  A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
  ☆325Updated 2 years ago
• twitter-research / feature-propagation
  ☆80Updated 2 years ago
• trueprice / python-graph-clustering
  A collection of Python scripts that implement various graph clustering algorithms, specifically for identifying protein complexes from pr…
  ☆94Updated 6 years ago
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆50Updated 2 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 6 years ago