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05/11/2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
Entity alignment is the task of identifying corresponding entities acros...
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01/30/2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Graph alignment, which aims at identifying corresponding entities across...
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10/27/2022
Predicting Protein-Ligand Binding Affinity with Equivariant Line Graph Network
Binding affinity prediction of three-dimensional (3D) protein ligand com...
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02/17/2022
Transformer for Graphs: An Overview from Architecture Perspective
Recently, Transformer model, which has achieved great success in many ar...
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01/02/2022
Community Search: Learn from Small Data
Community Search (CS) is one of the fundamental graph analysis tasks, wh...
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04/08/2021
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search
Recently, attributed community search, a related but different problem t...
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01/22/2021
Towards Expectation-Maximization by SQL in RDBMS
Integrating machine learning techniques into RDBMSs is an important task...
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10/09/2020
Dirichlet Graph Variational Autoencoder
Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have be...
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06/01/2020
