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IEEE Transactions on Knowledge and Data Engineering （TKDE） - 论文列表

点击这里查看 IEEE Transactions on Knowledge and Data Engineering 的JCR分区、影响因子等信息
卷期号： 33
发布时间： May
卷期年份： 2021
卷期官网： https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9393627&issue_denial=true&userType=&issue_login=true
本期论文列表
A Comparative Study for Unsupervised Network Representation Learning

A Hybrid Recommender System for Improving Automatic Playlist Continuation

Absorbing Diagonal Algorithm: An Eigensolver of $O\left(n^{2.584963}\log \frac{1}{\varepsilon }\right)$On2.584963log1ɛ Complexity at Accuracy $\varepsilon$ɛ

ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment

A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System

An Adaptive Robust Semi-Supervised Clustering Framework Using Weighted Consensus of Random $k$k-Means Ensemble

Deep Cross-Modal Face Naming for People News Retrieval

Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System

Discrete Matrix Factorization and Extension for Fast Item Recommendation

DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity

Feature Re-Learning with Data Augmentation for Video Relevance Prediction

GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks

HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling

Imputation-Based Ensemble Techniques for Class Imbalance Learning

Joint Inference for Aspect-Level Sentiment Analysis by Deep Neural Networks and Linguistic Hints

Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks

Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph

Learning Structural Node Representations Using Graph Kernels

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning

Lightweight Label Propagation for Large-Scale Network Data

Multi-Label Truth Inference for Crowdsourcing Using Mixture Models

Multi-Level Attention Networks for Multi-Step Citywide Passenger Demands Prediction

Multi-Instance Learning With Emerging Novel Class

Network Intervention for Mental Disorders with Minimum Small Dense Subgroups

Neural Attention Frameworks for Explainable Recommendation

ParIS+: Data Series Indexing on Multi-Core Architectures

Popularity Prediction for Single Tweet Based on Heterogeneous Bass Model

Ranking Users in Social Networks with Motif-Based PageRank

Semi-Supervised Graph Based Embedding With Non-Convex Sparse Coding Techniques

Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning

SQL-G: Efficient Graph Analytics by SQL

Structured Graph Reconstruction for Scalable Clustering

The Impact of Task Abandonment in Crowdsourcing

TIDY: Publishing a Time Interval Dataset With Differential Privacy

Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing