Stomach-ache / PU-Learning
This repo lists some researches and applications in PU learning.
☆12Updated 5 years ago
Alternatives and similar repositories for PU-Learning:
Users that are interested in PU-Learning are comparing it to the libraries listed below
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated last year
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated last year
- Code for Positive-Unlabeled learning.☆35Updated 2 years ago
- Code for reproducing experiments on MNIST and CIFAR-10 in paper "Positive-Unlabeled Learning with Non-Negative Risk Estimator".☆21Updated 2 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆68Updated 3 years ago
- ☆38Updated 4 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 4 years ago
- CGAT: Channel-aware Graph Attention Networks☆20Updated 2 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆86Updated 8 months ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- ☆15Updated 6 years ago
- Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs☆48Updated 3 years ago
- Source code of "Segmented GRAPH-BERT Model"☆23Updated 4 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆22Updated 4 years ago
- bilinear graph neural network☆29Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 4 years ago
- Explainable recommendation via interpretable feature mapping☆18Updated 5 years ago
- The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.☆18Updated 4 years ago
- Learning from positive and unlabeled data with a selection bias (nnPUSB) reproductive code on MNIST and CIFAR10☆8Updated 2 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 7 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 2 years ago
- The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"☆30Updated 4 years ago
- ☆23Updated 5 years ago
- The pytorch implementation of Cluster-Aware Supervised Contrastive Learning on Graphs (WWW 2022).☆11Updated 2 years ago
- GFL for AAAI 2020☆31Updated 4 years ago
- Implementation of SetRank in SIGIR 2020☆50Updated 5 years ago
- ☆21Updated 2 years ago
- ☆37Updated 2 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Guiding Entity Alignment via Adversarial Knowledge Embedding☆16Updated 4 years ago