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Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
Joint-event-extraction, which extracts structural information (i.e., ent...
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A Big Data Enabled Channel Model for 5G Wireless Communication Systems
The standardization process of the fifth generation (5G) wireless commun...
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A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs
In this paper, we develop a new graph kernel, namely the Hierarchical Tr...
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Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
We formalize networks with evolving structures as temporal networks and ...
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A Multi-Task Gradient Descent Method for Multi-Label Learning
Multi-label learning studies the problem where an instance is associated...
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Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis
In this work, we develop a novel framework to measure the similarity bet...
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Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking
Counterfactual thinking describes a psychological phenomenon that people...
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A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs
We develop a novel method for measuring the similarity between complete ...
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Fused Lasso for Feature Selection using Structural Information
Feature selection has been proven a powerful preprocessing step for high...
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Learning Vertex Convolutional Networks for Graph Classification
In this paper, we develop a new aligned vertex convolutional network mod...
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Deep Co-investment Network Learning for Financial Assets
Most recent works model the market structure of the stock market as a co...
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Identifying The Most Informative Features Using A Structurally Interacting Elastic Net
Feature selection can efficiently identify the most informative features...
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A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information
In this paper, we develop a new Quantum Spatial Graph Convolutional Neur...
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