Alternatives and similar repositories for ATS:

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

• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 2 years ago
• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 3 years ago
• jiangmengli / metaug
  ☆18Updated 2 years ago
• NingMa-AI / AS-MAML
  A meta-learning framework for few-shot graph learning
  ☆18Updated last year
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆61Updated 4 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 10 months ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 2 years ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 4 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• Luodian / IIB
  ☆16Updated 3 years ago
• m-Just / OoD-Bench
  ☆42Updated 2 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆130Updated 4 years ago
• chauhanjatin10 / GraphsFewShot
  Few Shot Learning on Graphs
  ☆33Updated 2 years ago
• LFhase / GALA
  [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
  ☆21Updated 5 months ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆43Updated last year
• Shen-Lab / GDA-SpecReg
  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆21Updated last year
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated 11 months ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆42Updated last year
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆55Updated 3 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆105Updated last year
• PanZiqiAI / disentangled-information-bottleneck
  ☆29Updated 4 years ago
• SongW-SW / COSMIC
  ☆9Updated last year
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆33Updated 2 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆57Updated 3 years ago
• siavash-khodadadeh / UMTRA-Release
  Unsupervised Meta Learning for Image Classification (UMTRA) algorithm
  ☆20Updated 2 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆26Updated 2 years ago
• huaxiuyao / HSML
  HSML for ICML 2019
  ☆51Updated 5 years ago
• Wang-ML-Lab / GRDA
  [ICLR 2022] Graph-Relational Domain Adaptation
  ☆43Updated 10 months ago