All Stories

  1. Towards Fair Graph Representation Learning by Overcoming Social Homophily
  2. Domain Ontology-Driven Knowledge Graph Generation from Text
  3. Latent Representation Learning for attributed graph Anomaly Detection
  4. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
  5. An Efficient Matching Method for Causal Inference Using Sufficient Dimension Reduction
  6. Ripple Knowledge Graph Convolutional Networks for Recommendation Systems
  7. Learning fair representations via rebalancing graph structure
  8. Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
  9. Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction
  10. Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference
  11. LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection
  12. MC-Net: Multi-Scale Feature Fusion and Cross-Level Information Interaction Network for Traffic Sign Detection
  13. SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection
  14. Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables
  15. Local Search for Efficient Causal Effect Estimation
  16. Disentangled Representation for Causal Mediation Analysis
  17. FPGNN: Fair path graph neural network for mitigating discrimination
  18. Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data
  19. A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation
  20. A Reinforcement Learning-Based Approach for Continuous Knowledge Graph Construction
  21. An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark
  22. Disentangled Representation with Causal Constraints for Counterfactual Fairness
  23. FastAGEDs: Fast Approximate Graph Entity Dependency Discovery
  24. Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
  25. Multi-head Similarity Feature Representation and Filtration for Image-Text Matching
  26. Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation
  27. Stable Causal Feature Selection based on Direct Causal Effect Estimation
  28. Dynamic Semantic Modeling of Structural Data Sources
  29. Ancestral Instrument Method for Causal Inference without Complete Knowledge
  30. Information Augmentation for Few-shot Node Classification
  31. Sufficient dimension reduction for average causal effect estimation
  32. Assessing Classifier Fairness with Collider Bias
  33. Application of ToF-SIMS to predict contact angles of pyrite particles
  34. Causal Query in Observational Data with Hidden Variables
  35. A novel k NN algorithm with data-driven k parameter computation
  36. Supervised feature selection algorithm via discriminative ridge regression
  37. Self-representation dimensionality reduction for multi-model classification
  38. Unsupervised feature selection for visual classification via feature-representation property
  39. Learning k for kNN Classification
  40. Graph self-representation method for unsupervised feature selection
  41. Spectral clustering based on hypergraph and self-re-presentation
  42. Double sparse-representation feature selection algorithm for classification
  43. Low-rank feature selection for multi-view regression
  44. Leverage triple relational structures via low-rank feature reduction for multi-output regression
  45. Low-rank unsupervised graph feature selection via feature self-representation
  46. Efficient subspace clustering based on self-representation and grouping effect
  47. Sparse sample self-representation for subspace clustering
  48. Efficient kNN classification algorithm for big data
  49. Graph feature selection for dementia diagnosis
  50. Self-representation nearest neighbor search for classification
  51. Hypergraph Spectral Clustering via Sample Self-Representation
  52. Feature selection by combining subspace learning with sparse representation
  53. kNN Algorithm with Data-Driven k Value
  54. Improved Spectral Clustering Algorithm Based on Similarity Measure
  55. Efficient kNN Algorithm Based on Graph Sparse Reconstruction