LDR-KDD

LDR-KDD's Stars

• erobic/bias-mitigators

  Demonstrates failures of bias mitigation methods under varying types/levels of biases (WACV 2021)

  Language:Python252

• waterhorse1/MELU_pytorch

  An unofficial pytorch implementation of MELU

  Language:Python4412

• xuanqing94/AdvSSL

  A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

  Language:Python123

• yassouali/awesome-semi-supervised-learning

  😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

  1.8k227

• MatthewWilletts/VLAC

  2

• nikhil-dce/SBM-meet-GNN

  Implementation of SBM-meet-GNN

  Language:Jupyter Notebook2210

• ermongroup/graphite

  Code for Graphite iterative graph generation

  Language:Python5925

• mandt-lab/adversarial-negative-sampling

  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)

  Language:Python145

• mandt-lab/knowledge-graph-tuning

  Scalable hyperparameter tuning in probabilistic knowledge graph embedding models (Bamler, Salehi, and Mandt, UAI 2019)

  Language:Python83

• alexanderimanicowenrivers/Neural-Variational-Knowledge-Graphs

  A simple Tensorflow implementation of https://arxiv.org/abs/1906.04985

  Language:Python13

• shchur/overlapping-community-detection

  Implementation of "Overlapping Community Detection with Graph Neural Networks"

  Language:Jupyter Notebook15844

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k780

• slim1017/VaDE

  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

  Language:Python29196

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.9k415

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  78977

• ShiYaya/graph

  5314