IEEE Transactions on Knowledge and Data Engineering

Title Publication Date Language Citations
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting2024/05/01
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation2024/01/01
Nearly Optimal Rates of Privacy-preserving Sparse Generalized Eigenvalue Problem2024/01/01
Instance Selection Via Voronoi Neighbors for Binary Classification Tasks2024/01/01
Z- Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals2024/01/01
Network Controllability Perspectives on Graph Representation2024/01/01
GNNGO3D: Protein Function Prediction Based on 3D Structure and Functional Hierarchy Learning2024/01/01
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing2024/01/01
Stacked Network to Realize Spectral Clustering With Adaptive Graph Learning2024/01/01
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study2024/05/01
TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation
WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder
Explainable Legal Case Matching via Graph Optimal Transport
Neural Abstractive Summarization for Long Text and Multiple Tables
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
A Trajectory-Oriented Locality-Sensitive Hashing Method for User Identification
Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction
Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains
A Fast Learned Key-Value Store for Concurrent and Distributed Systems
Variational Continuous Label Distribution Learning for Multi-Label Text Classification
Discovering Predictable Latent Factors for Time Series Forecasting2024/01/01
Data Provenance via Differential Auditing2024/01/01
GAN-based Temporal Association Rule Mining on Multivariate Time Series Data2024/01/01
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining2024/01/01
RARE: Robust Masked Graph Autoencoder2024/01/01
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics
An Efficient Adaptive Multi-Kernel Learning With Safe Screening Rule for Outlier Detection2024/01/01
Guest Editorial Introduction to the Special Issue on Anomaly Detection in Emerging Data-Driven Applications: Theory, Algorithms, and Applications2023/12/01
Simultaneous Deep Clustering and Feature Selection via K-Concrete Autoencoder
Trajectory Distribution Aware Graph Convolutional Network for Trajectory Prediction Considering Spatio-temporal Interactions and Scene Information2024/01/01