Alternatives and similar repositories for PU-Learning

Users that are interested in PU-Learning are comparing it to the libraries listed below

• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆17Updated last year
• Louise-LuLin / topic-gcn
  CGAT: Channel-aware Graph Attention Networks
  ☆20Updated 2 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• chauhanjatin10 / GraphsFewShot
  Few Shot Learning on Graphs
  ☆33Updated 2 years ago
• MasaKat0 / PUlearning
  Code for Positive-Unlabeled learning.
  ☆35Updated 2 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆87Updated 9 months ago
• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆49Updated 5 years ago
• DeepGraphLearning / FewShotRE
  ☆38Updated 4 years ago
• guixianjin / noisy_label_papers
  This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.
  ☆35Updated 3 years ago
• xiaolin1207 / HTTN-master
  The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"
  ☆29Updated 4 years ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 8 years ago
• suamin / LowFER
  LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
  ☆13Updated 2 years ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆18Updated 5 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago
• joeybose / Meta-Graph
  Meta-Learning for Few Shot Link Prediction
  ☆49Updated 4 years ago
• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• eXascaleInfolab / ActiveLink
  Deep active learning framework for link prediction in knowledge graph
  ☆25Updated 4 years ago
• CheriseZhu / RSHN
  The implementation of our ICDM 2019 paper "Relation Structure-Aware Heterogeneous Graph Neural Network" RSHN.
  ☆18Updated 4 years ago
• lehaifeng / Awesome-Adversarial-Sample-on-Graph
  ☆15Updated 6 years ago
• VITA-Group / Self-PU
  [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
• jwzhanggy / SEG-BERT
  Source code of "Segmented GRAPH-BERT Model"
  ☆23Updated 4 years ago
• bcol23 / HyperIM
  PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"
  ☆47Updated 5 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 4 years ago
• Panda0406 / Zero-shot-knowledge-graph-relational-learning
  Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
  ☆48Updated 3 years ago
• zealscott / nnPUSB
  Learning from positive and unlabeled data with a selection bias (nnPUSB) reproductive code on MNIST and CIFAR10
  ☆8Updated 2 years ago
• pcy1302 / TapEM
  Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
  ☆12Updated 3 years ago
• LARS-research / S2E
  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
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 6 years ago
• soumyac1999 / hyperbolic-label-emb-for-hmc
  Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
  ☆23Updated 3 years ago
• thunlp / MuGNN
  Source code for ACL2019 paper "Multi-Channel Graph Neural Network for Entity Alignment".
  ☆59Updated 4 years ago