Alternatives and similar repositories for learning-from-graphs-webconf2021

Users that are interested in learning-from-graphs-webconf2021 are comparing it to the libraries listed below

• snorkel-team / snorkel-zoo
  A collection of utilities for writing labeling functions, transformation functions, and slicing functions.
  ☆22Updated 5 years ago
• snap-stanford / MAG
  Programs for Microsoft Academic Graph
  ☆16Updated 9 years ago
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• senwu / emmental
  A deep learning framework for building multimodal multi-task learning systems.
  ☆112Updated 2 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated 2 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• ferencberes / online-centrality
  Temporal Walk Based Centrality Metric for Graph Streams
  ☆15Updated 2 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 5 years ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated 7 months ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 6 years ago
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆62Updated this week
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆24Updated 3 years ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆30Updated 7 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆93Updated 3 years ago
• fastai / fastpy
  An easy way to start a python programming environment using GitHub Codespaces.
  ☆15Updated 5 years ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆47Updated 6 years ago
• chengsoonong / acton
  Active Learning: Predictors, Recommenders and Labellers
  ☆21Updated 3 years ago
• dglai / dgl_winter_school
  ☆31Updated 4 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 4 years ago
• dpanagop / data_analytics_examples
  ☆10Updated last year
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆44Updated 6 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆33Updated 2 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 5 years ago
• amazon-science / hyperbolic-embeddings
  Code for hyperboloid embeddings for knowledge graph entities
  ☆37Updated 6 months ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago