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03/04/2023
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks
In this work, we develop an Aligned Entropic Reproducing Kernel (AERK) f...
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12/10/2022
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification
In this paper, we propose a novel graph kernel, namely the Quantum-based...
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11/05/2022
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification
In this work, we propose a family of novel quantum kernels, namely the H...
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06/15/2022
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus
To alleviate the challenges of building Knowledge Graphs (KG) from scrat...
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05/24/2022
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks
Deep learning is attracting interest across a variety of domains, includ...
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01/10/2022
Writing Style Aware Document-level Event Extraction
Event extraction, the technology that aims to automatically get the stru...
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02/05/2021
Graph Joint Attention Networks
Graph attention networks (GATs) have been recognized as powerful tools f...
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10/13/2020
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
Joint-event-extraction, which extracts structural information (i.e., ent...
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02/28/2020
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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02/08/2020
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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11/26/2019
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
We formalize networks with evolving structures as temporal networks and ...
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11/18/2019
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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10/21/2019
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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08/13/2019
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking
Counterfactual thinking describes a psychological phenomenon that people...
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04/28/2019
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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02/26/2019
Fused Lasso for Feature Selection using Structural Information
Feature selection has been proven a powerful preprocessing step for high...
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02/26/2019
Learning Vertex Convolutional Networks for Graph Classification
In this paper, we develop a new aligned vertex convolutional network mod...
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09/12/2018
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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09/08/2018
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net
Feature selection can efficiently identify the most informative features...
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09/04/2018
