Alternatives and similar repositories for rrl

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

• ZhangTP1996 / TapTap
  ☆66Updated 2 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆194Updated 3 months ago
• jma712 / HyperSCI
  ☆45Updated last year
• zaixizhang / ProtGNN
  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
  ☆53Updated 2 years ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆25Updated 3 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 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 …
  ☆74Updated 3 years ago
• reddy-lab / GraphZoo
  Facilitating learning, using, and designing graph processing pipelines/models systematically.
  ☆27Updated 3 years ago
• KounianhuaDu / PET
  ☆23Updated 2 years ago
• nd7141 / bgnn
  ☆170Updated last year
• archon159 / SELOR
  ☆40Updated last year
• 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
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 3 years ago
• BUPT-GAMMA / CPF
  The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …
  ☆77Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 4 years ago
• Wuyxin / DIR-GNN
  Discovering Invariant Rationales for Graph Neural Networks (ICLR 2022)
  ☆127Updated last year
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆63Updated 5 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
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 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
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 2 years ago
• LARS-research / TabGNN
  ☆51Updated 3 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆66Updated 3 years ago
• a-lucic / cf-gnnexplainer
  ☆58Updated 3 years ago
• ritaranx / CACHE
  [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions …
  ☆25Updated last year
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆56Updated 11 months ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated 5 months ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• TrustAGI-Lab / UDAGCN
  Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.
  ☆56Updated 4 years ago
• zju-vipa / awesome-neural-trees
  Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
  ☆79Updated 2 years ago