A Deep Neural Network for Crossing-City POI Recommendations
A Survey on Knowledge Graph-Based Recommender Systems
AID*: A Spatial Index for Visual Exploration of Geo-Spatial Data
An Efficient Insertion Operator in Dynamic Ridesharing Services
Attribute Graph Neural Networks for Strict Cold Start Recommendation
BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding
Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates
Constructing Measures of Sparsity
COSINE: Compressive Network Embedding on Large-Scale Information Networks
Deep Feature-Based Text Clustering and its Explanation
Deep Learning for Spatio-Temporal Data Mining: A Survey
Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering
Distributed Density Peaks Clustering Revisited
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks
Enhancing Factorization Machines With Generalized Metric Learning
Exploring Temporal Information for Dynamic Network Embedding
Extract Human Mobility Patterns Powered by City Semantic Diagram
FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention
Identifying User Relationship on WeChat Money-Gifting Network
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data
K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs
Learning Latent Multi-Criteria Ratings From User Reviews for Recommendations
LogStore: A Workload-Aware, Adaptable Key-Value Store on Hybrid Storage Systems
Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm
Multi-Query Optimization of Incrementally Evaluated Sliding-Window Aggregations
Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing
Periodic Communities Mining in Temporal Networks: Concepts and Algorithms
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis
Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network
SPATM: A Social Period-Aware Topic Model for Personalized Venue Recommendation
The Node-Similarity Distribution of Complex Networks and Its Applications in Link Prediction
Towards Query Pricing on Incomplete Data
Truss-Based Structural Diversity Search in Large Graphs
