Alternatives and similar repositories for FarconVAE

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

• BaeHeeSun / NPC
  ☆25Updated last year
• XiaochenWang-PSU / MedHMP
  Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".
  ☆18Updated last year
• yixinliu233 / SimpDM
  [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation
  ☆14Updated 10 months ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆27Updated 3 years ago
• dmhyun / MSRP
  Official repository of Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [EMNLP'22 …
  ☆10Updated 2 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated last month
• archon159 / SELOR
  ☆40Updated last year
• BUPT-GAMMA / CaGCN
  This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
  ☆22Updated 3 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• YuWang-1024 / ContrastVAE
  ☆37Updated 2 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 3 years ago
• hezgit / TDM
  Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
  ☆14Updated 2 years ago
• Wuyxin / DIR-GNN
  Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)
  ☆130Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• Sungwon-Han / DualFair
  ☆14Updated 2 years ago
• salesforce / SRMA
  Contrastive Learning with Model Augmentation
  ☆18Updated 3 years ago
• amazon-science / doscond
  ☆19Updated 2 years ago
• hans66hsu / GATS
  Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)
  ☆24Updated 2 months ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• KXY-PUBLIC / DiCGRL
  ☆11Updated 4 years ago
• Samyu0304 / LiSA
  Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…
  ☆17Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆120Updated 2 years ago
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆28Updated 6 months ago
• yushundong / Graph-Mining-Fairness-Data
  Open-source datasets for paper "Fairness in Graph Mining: A Survey".
  ☆18Updated 2 years ago
• yifanQi98 / HGRL
  ☆15Updated 2 years ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆60Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• weicy15 / CGI
  Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
  ☆30Updated 2 years ago