Alternatives and similar repositories for DMLab2020VFAE:

Users that are interested in DMLab2020VFAE are comparing it to the libraries listed below

• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆91Updated last year
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆50Updated 4 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆19Updated 4 years ago
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆26Updated last week
• davidchouzdw / iDEA-iSAIL-Reading-Group
  ☆2Updated 3 years ago
• EnyanDai / FairGNN
  A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Informati…
  ☆60Updated last year
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆26Updated 2 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• brandeis-machine-learning / FairAdj
  Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
  ☆12Updated 3 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆15Updated 4 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆27Updated 8 months ago
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆21Updated 4 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆54Updated 6 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• hezgit / TDM
  Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
  ☆12Updated last year
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 3 years ago
• ispamm / FairDrop
  ☆14Updated 3 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆57Updated 2 years ago
• yushundong / Graph-Mining-Fairness-Data
  Open-source datasets for paper "Fairness in Graph Mining: A Survey".
  ☆17Updated 2 years ago
• devnkong / FLAG
  Official implementation of our FLAG paper (CVPR2022)
  ☆141Updated 2 years ago
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• KaidiXu / GCN_ADV_Train
  Adversarial training for Graph Neural Networks
  ☆59Updated 3 years ago
• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆33Updated 4 years ago
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆44Updated 3 years ago
• 3480430977 / ACDNE
  ☆11Updated 3 years ago
• graytowne / revisit_adv_rec
  A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
  ☆23Updated 3 years ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆26Updated 2 years ago
• charan223 / FairDeepLearning
  ☆36Updated last year
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 2 years ago