Computational-Machine-Intelligence / LeetDecoding
☆30Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for LeetDecoding
- An awesome collection of causality-inspired graph neural networks.☆49Updated this week
- A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch☆55Updated 2 weeks ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆102Updated last year
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆62Updated 2 weeks ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆160Updated 9 months ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆67Updated last year
- This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].☆10Updated 2 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆65Updated 2 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆82Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆187Updated last week
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆70Updated last year
- clone/download repositories from https://anonymous.4open.science/☆85Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆56Updated 11 months ago
- An efficient Python toolkit for Abductive Learning (ABL), a novel paradigm that integrates machine learning and logical reasoning in a un…☆50Updated 2 months ago
- ☆88Updated last year
- ☆34Updated 2 weeks ago
- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆44Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆56Updated 2 years ago
- Papers and online resources related to machine learning fairness☆65Updated last year
- Summer course on mathematical theory of deep learning☆52Updated 5 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆91Updated last year
- ☆291Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆62Updated last year
- Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".☆12Updated 5 months ago
- Papers about out-of-distribution generalization on graphs.☆156Updated last year
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆40Updated 5 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆18Updated 3 years ago
- ☆25Updated this week
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆37Updated 11 months ago