archon159 / SELORLinks
☆40Updated 2 years ago
Alternatives and similar repositories for SELOR
Users that are interested in SELOR are comparing it to the libraries listed below
Sorting:
- Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"☆23Updated 3 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆117Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆50Updated 3 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆60Updated 2 years ago
- ☆25Updated last year
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')☆23Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆25Updated 2 years ago
- ☆14Updated 2 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆16Updated last year
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆51Updated 4 years ago
- ☆51Updated 4 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- ☆62Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- This is the official codebase of `Exploring Generative Neural Temporal Point Process' (Accepted by TMLR).☆21Updated 2 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 3 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 5 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆59Updated 2 years ago
- Source code of "What Makes Graph Neural Networks Miscalibrated?" (NeurIPS 2022)☆24Updated 6 months ago
- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆47Updated 5 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆141Updated 2 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆118Updated 2 years ago