Advances in Knowledge Discovery and Data Mining

Traffic Forecasting.- Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting.- AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life.- Data Mining of Specialized Data.- Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process.- HiPaR: Hierarchical Pattern-Aided Regression.- Improved Topology Extraction using Discriminative Parameter Mining of Logs.- Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion.- A k-MCST based Algorithm for Discovering Core-Periphery Structures in Graphs.- Detecting Sequentially Novel Classes with Stable Generalization Ability.- Learning-based Dynamic Graph Stream Sketch.- Discovering Dense Correlated Subgraphs in Dynamic Networks.- Fake News Detection with Heterogenous Deep Graph Convolutional Network.- Incrementally Finding the  Vertices Absent from the Maximum Independent Sets.- Neighbours and Kinsmen: HatefulUsers Detection with Graph Neural Network.- Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.- A Meta-path based Graph Convolutional Network with Multi-Scale Semantic Extractions for Heterogeneous Event Classification.- Noise-Enhanced Unsupervised Link Prediction.- Weak Supervision Network Embedding for Constrained Graph Learning.- RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment               .- Graph Attention Networks with Positional Embeddings.- Unified Robust Training for Graph Neural Networks against Label Noise.- Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs.- A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.- Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. -Reliably Calibrated Isotonic Regression.- Multiple Instance Learning for Unilateral Data.- An Online Learning Algorithm for Non-Stationary Imbalanced Data by Extra-Charging Minority Class.- Locally Linear Support Vector Machines for Imbalanced Data Classification. - Low-Dimensional Representation Learning from Imbalanced Data Streams.- PhotoStylist: Altering the Style of Photos based on the Connotations of Texts.- Gazetteer-Guided Keyphrase Generation from Research Papers.- Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns.- T^3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter.- AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection.- SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction.- Content matters: A GNN-based Model Combined with Text Semantics for Social Network Cascade Prediction.- TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting.- Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-hailing Demand Forecasting.- A Proximity Forest for Multivariate Time Series Classification.- C²-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction.- Simultaneous multiple POI population patternanalysis system with HDP mixture regression.- Interpretable Feature Construction for Time Series Extrinsic Regression.- SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.