Basic Invariant Test Practice in Foundry
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Jun 4, 2024 - Solidity
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invariant-learning
Here are 17 public repositories matching this topic...
DELA - Disentanglement Learning Archive
image-reconstruction reconstruction disentangled-representations disentanglement-learning invariant-learning
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Mar 8, 2024 - Python
This repository contain code for research paper "Causal Discovery via Intrinsic invariant Conditional Probabilities"
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Sep 26, 2024 - Jupyter Notebook
Code for "Environment Diversification with Multi-head Neural Network for Invariant Learning" (NeurIPS 2022)
machine-learning causality ood-generalization distributional-shift invariant-learning environment-inference
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Dec 19, 2022 - Python
This repository provides implementations for sparse graph separation, power graph experiments, and chemical property prediction.
graph geometric separation geometric-deep-learning gnns invariant-learning equivariant-graph-neural-network mpnns completness
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Feb 10, 2025 - Python
Causal Disentangled Recommendation Against Preference Shifts (TOIS), 2023
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Mar 28, 2023 - Python
[ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
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Mar 4, 2025 - Python
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
drug-discovery graph-neural-networks graph-representation-learning out-of-distribution-generalization invariant-learning causal-representation-learning
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Aug 25, 2024 - Python
This repo contains code for Invariant Grounding for Video Question Answering
video generalization interpretable videoqa video-question-answering invariant-learning cvpr-2022 cvpr-oral-2022
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Mar 2, 2023 - Python
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
spurious-correlations feature-learning domain-generalization out-of-distribution-generalization invariant-learning
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May 27, 2025 - Python
Ratioanle-aware Graph Contrastive Learning codebase
interpretability generalization explainability graph-contrastive-learning invariant-learning icml2022 graph-pretraining invariant-rationale-discovery
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Jun 15, 2023 - Python
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
optimization model-selection multi-objective-optimization causal-inference domain-generalization out-of-distribution-generalization invariant-learning
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Apr 12, 2024 - Jupyter Notebook
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
knowledge-graph recommender-systems graph-neural-networks self-supervised-learning rationalization invariant-learning
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Jun 10, 2024 - Python
Tools for exploiting Morphological Symmetries in robotics
robotics dynamical-systems representation-learning group-theory representation-theory symmetry-analysis legged-robotics symmetries invariant-learning equivariant-control symmetric-robots equivariant-neural-networks morphological-symmetries
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Aug 26, 2025 - Python
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
drug-discovery causal-inference graph-neural-networks graph-representation-learning distribution-shift out-of-distribution-generalization invariant-learning causal-representation-learning
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Aug 28, 2023 - Python
(ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
pytorch causality interpretability generalization graph-neural-networks causal-discovery iclr2022 invariant-learning
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Jul 15, 2023 - Python
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
deep-learning pytorch graph-neural-networks pytorch-geometric distribution-shift out-of-distribution-generalization invariant-learning graph-ood
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Feb 21, 2025 - Python
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