Alternatives and similar repositories for ReScore

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

• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆94Updated 2 years ago
• h-yu16 / Sparse_Variable_Independence
  Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".
  ☆13Updated last year
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆39Updated 3 years ago
• anpwu / Awesome-Causal-LLM
  ☆40Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆58Updated last year
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆97Updated 2 years ago
• RingBDStack / VIB-GSL
  Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022
  ☆37Updated 3 years ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆25Updated 2 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆166Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆62Updated 3 years ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆93Updated 11 months ago
• fannie1208 / CaNet
  [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.
  ☆27Updated last year
• yaoyao-yaoyao-cell / CRCG
  AAAI 2024 Accept
  ☆18Updated last year
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆41Updated 2 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
• Wuyxin / DIR-GNN
  (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
  ☆133Updated 2 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆117Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆28Updated 7 months ago
• anpwu / Causal4Application
  ☆26Updated 3 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆39Updated 3 years ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆33Updated 5 months ago
• Daftstone / CIMI
  ☆28Updated 2 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆207Updated 9 months ago
• Graph-COM / Neural_Higher-order_Pattern_Prediction
  ☆14Updated 3 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆119Updated 4 months ago
• googlebaba / GraphNOTEARS
  AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs
  ☆11Updated 2 years ago
• hezgit / TDM
  Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
  ☆14Updated 2 years ago