Alternatives and similar repositories for ntds_2018

Users that are interested in ntds_2018 are comparing it to the libraries listed below

• mdeff / ntds_2017
  Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
  ☆66Updated 5 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆69Updated 5 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆99Updated 5 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆187Updated 2 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆255Updated 6 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 5 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• benedekrozemberczki / DANMF
  A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
  ☆207Updated 2 years ago
• IngoScholtes / kdd2018-tutorial
  Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data
  ☆46Updated 6 years ago
• jbcdnr / gretel-path-extrapolation
  Implementation for the paper "Extrapolating paths with graph neural networks"
  ☆36Updated 5 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 5 years ago
• mlss-2019 / slides
  ☆259Updated 6 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• graphreason / graphreason.github.io
  Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)
  ☆26Updated 6 years ago
• ncullen93 / pyBN
  Bayesian Networks in Python
  ☆149Updated 2 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 6 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• mlss-skoltech / tutorials_week2
  tutorials for MLSS 2019 Skoltech
  ☆57Updated 5 years ago
• benedekrozemberczki / GAM
  A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
  ☆273Updated 2 years ago
• nrkarthikeyan / topology-decision-boundaries
  Topology of decision boundaries
  ☆28Updated 5 years ago
• snap-stanford / graphwave
  ☆173Updated 6 years ago
• JeanKossaifi / ifi-summer-school
  Slides and notebooks for the IfI Summer School 2018 on Machine Learning
  ☆36Updated 7 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• youngjoo-epfl / gconvRNN
  Graph convolutional recurrent neural network
  ☆181Updated 7 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago
• gmum / pykernels
  Python library for working with kernel methods in machine learning
  ☆121Updated 6 years ago