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06/29/2023
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters
High-order Graph Neural Networks (HO-GNNs) have been developed to infer ...
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03/21/2023
Labeled Subgraph Entropy Kernel
In recent years, kernel methods are widespread in tasks of similarity me...
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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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02/02/2023
Quantum Graph Learning: Frontiers and Outlook
Quantum theory has shown its superiority in enhancing machine learning. ...
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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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01/03/2022
Two-level Graph Neural Network
Graph Neural Networks (GNNs) are recently proposed neural network struct...
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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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02/08/2020
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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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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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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04/06/2019
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification
In this paper, we develop a novel Aligned-Spatial Graph Convolutional Ne...
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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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09/08/2018
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
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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08/25/2017
