Knowledge Science with Learning and AI (KSLA)
Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-Sourse Information
Extracting Prerequisite Relations among Wikipedia Concepts using the Clickstream Data
Clustering Massive-categories and Complex Documents via Graph Convolutional Network
Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks
A Property-based Method for Acquiring Commonsense Knowledge
Multi-hop Learning promote Cooperation in Multi-agent Systems
FedPS: Model Aggregation with Pseudo Samples
Dense Incremental Extreme Learning Machine with Accelerating
Amount and Proportional Integral Differential
Knowledge-based Diverse Feature Transformation For Few-shot Relation Classification
Community Detection In Dynamic Networks: A Novel Deep Learning Method
Additive Noise Model Structure Learning Based on Rank Statistics
A MOOCs Recommender System Based on User's Knowledge Background
TEBC-Net: An effective relation extraction approach for simple question answering over knowledge graphs
Representing Knowledge Graphs with Gaussian Mixture Embedding
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection
Named Entity Recognition Based on Reinforcement Learning and Adversarial Training
Improved Partitioning Graph Embedding Framework for Small Cluster
A Framework of Data Fusion through Spatio-temporal Knowledge Graph
SEGAR: Knowledge Graph Augmented Session-based Recommendation
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System
An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application
GASKT: A Graph-based Attentive Knowledge-Search Model for Knowledge Tracing
Fragile Neural Network Watermarking with Trigger Image Set
Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task
A Research Study on Running Machine Learning Algorithms on Big Data with Spark
Attentional Neural Factorization Machines for Knowledge Tracing
Node-Image CAEïơA Novel Embedding Method via Convolutional Auto-Encoder and High-Order Proximities
EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
Knowledge Distillation via Channel Correlation Structure
Feature Interaction Convolutional Network for Knowledge Graph Embedding
Towards a Modular Ontology for Cloud Consumer Review Mining
Identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes
Graph Ensemble Networks for Semi-Supervised Embedding Learning
Rethinking the Information inside Documents for Sentiment Classification
Dependency Parsing Representation Learning for Open Information Extraction
Hierarchical Policy Network with Multi-Agent for Knowledge Graph Reasoning Based on Reinforcement Learning
Inducing Bilingual Word Representations for Non-Isomorphic Spaces by an Unsupervised Way
A Deep Learning Model Based on Neural Bag-of-words Attention for Sentiment Analysis
Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion
Event Relation Reasoning Based on Event Knowledge Graph
PEN4Rec: Preference Evolution Networks for Session-based Recommendation
HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere
TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization
A Neural Language Understanding for Dialogue State Tracking
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks
Entity Alignment between Knowledge Graphs Using Entity Type Matching
Text-Aware Recommendation Model Based on Multi-Attention Neural Network
Chinese Named Entity Recognition Based on Gated Graph Neural Network
Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition
Incorporating Global Context into Multi-task Learning for Session-based Recommendation
Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation
Predicting User Preferences via Heterogeneous Information Network and Metric Learning
An IoT Ontology Class Recommendation Method Based on Knowledge Graph
Ride-Sharing Matching of Commuting Private Car using Reinforcement Learning
Optimization of Remote Desktop with CNN Based Image Compression Model.