Alternatives and similar repositories for SIN

Users that are interested in SIN are comparing it to the libraries listed below

• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆27Updated 2 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆44Updated last year
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆30Updated 6 years ago
• ZaydH / arbitrary_pu
  NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
  ☆17Updated 2 years ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆19Updated 5 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆74Updated 3 years ago
• RyanWangZf / Influence_Subsampling
  Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020
  ☆64Updated 4 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 years ago
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆63Updated 5 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆33Updated 2 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆56Updated 5 years ago
• dglai / WSDM2022-Challenge
  WSDM2022 Challenge - Large scale temporal graph link prediction
  ☆38Updated 3 years ago
• GitHubLuCheng / LTEE
  Implementation of paper Long-Term Effect Estimation with Surrogate Representation
  ☆13Updated 4 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆49Updated 2 years ago
• StatsDLMathsRecomSys / Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
  ☆22Updated 4 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• LiuChuang0059 / hyperbolic_embedding_papers
  Papers on Hyperbolic embeddings and Hyperbolic Neural Network
  ☆35Updated 5 years ago
• brandeis-machine-learning / influence-fairness
  Code for ICML 2022 paper: Achieving Fairness at No Utility Cost via Data Reweighing with Influence
  ☆12Updated 3 years ago
• edebrouwer / cfqp
  Deep Counterfactual Prediction with Categorical Backward Variables
  ☆12Updated 2 years ago
• yichousun / Winter2021_CS249_GNN
  ☆54Updated 2 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆34Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 7 years ago
• DeepGraphLearning / SPN
  ☆29Updated 3 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year