Web Information Systems Engineering – WISE 2020 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings, Part I

The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections:

Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing

Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications

Network Embedding.- Higher-Order Graph Convolutional Embedding for Temporal Networks.- ROLNE: Improving the Quality of Network Embedding With Structural Role Proximity.- Weighted Meta-Path Embedding Learning for Heterogeneous Information Networks.- A Graph Embedding Based Real-time Social Activity Matching Model for EBSNs Recommendation.- Competitor Mining from Web Encyclopedia: A Graph Embedding Approach.- Graph Neural Network.- Fine-grained Semantics-aware Heterogeneous Graph Neural Networks.- DynGCN: A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling.- NeuLP: An End-to-end Deep-learning Model for Link Prediction.- PLSGAN: a Power-Law-modified Sequential Generative Adversarial Network for Graph Generation.- Social Network.- User Profile Linkage across Multiple Social Platforms.- Budgeted Influence Maximization with Tags in Social Networks.- Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes.- Detecting Social Spammers in Sina Weibo Using Extreme Deep Factorization Machine.- Clustering Hashtags Using Temporal Patterns.- Nonnegative Residual Matrix Factorization for Community Detection.- Graph Query.- Fast Algorithm for Distance Dynamics-based Community Detection.- A hybrid index for exact shortest distance queries.- DySky: Dynamic Skyline Queries on Uncertain Graphs.- Leveraging Double Simulation to Efficiently Evaluate Hybrid Patterns on Data Graphs.- Knowledge Graph and Entity Linkage.- Knowledge-Infused Pre-Trained Models for KG Completion.- TransMVG: Knowledge Graph Embedding based on Multiple-Valued Gates.- ADKT: Adaptive Deep Knowledge Tracing.- MULCE: Multi-Level Canonicalization with Embeddings of Open Knowledge Bases.- Encoding Knowledge Graph Entity Aliases in Attentive Neural Networks for Wikidata Entity Linking.- Improving Entity Linking with Graph Networks.- Spatial Temporal Data Analysis.- AccurateIndoor Positioning Prediction Using The LSTM and Grey Model.- Bus Travel Time Prediction Based on Deep Spatio-Temporal Model.- TraSP: A General Framework for Online Trajectory Similarity Processing.- Indicators for Measuring Tourist Mobility.- Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting.- NSA-Net: A NetFlow Sequence Attention Network for Virtual Private Network Traffic Detection.- Spatial and Temporal Pricing Approach for Tasks in Spatial Crowdsourcing.- Service Computing and Cloud Computing.- Attention-based High-order Feature Interactions to Enhance the Recommender System for Web-based Knowledge-Sharing Service.- Designing Context-based Services for Resilient Cyber Physical Production Systems.- A Novel Repair-Based Multi-Objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition.- Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction.- Fast Build Top-k Lightweight Service-based Systems.- Comparison of Text-based and Feature-based Semantic Similarity Between Android Apps.- Subjective Metrics-based Cloud Market Performance Prediction.- Towards Web-scale and Energy-efficient Hybrid SDNs: Deployment Optimization and Fine-grained Link State Management.