Alternatives and similar repositories for rrl

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

• archon159 / SELOR
  ☆40Updated last year
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 2 years ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆24Updated 2 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆90Updated last year
• LARS-research / TabGNN
  ☆49Updated 3 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆73Updated 3 years ago
• Luodian / IIB
  ☆16Updated 3 years ago
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆44Updated last year
• jma712 / HyperSCI
  ☆44Updated last year
• razhangwei / CAUSE
  ☆30Updated 3 years ago
• zaixizhang / ProtGNN
  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
  ☆51Updated 2 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 3 years ago
• guanchuwang / SHEAR
  Towards Efficient Shapley Value Estimation via Cross-contribution Maximization
  ☆14Updated 2 years ago
• wubotong / LaCIM
  ☆23Updated 3 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆189Updated 2 months ago
• Wuyxin / DIR-GNN
  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
  ☆127Updated last year
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 2 years ago
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆111Updated last year
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆107Updated 10 months ago
• zju-vipa / awesome-neural-trees
  Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
  ☆78Updated 2 years ago
• Daftstone / CIMI
  ☆26Updated last year
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated last week
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆65Updated 4 years ago
• ZhangTP1996 / TapTap
  ☆64Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 2 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago