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04/01/2023
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space
Searching on bipartite graphs is basal and versatile to many real-world ...
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02/28/2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Spatial objects often come with textual information, such as Points of I...
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08/12/2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Heterogeneous graphs, which contain nodes and edges of multiple types, a...
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09/05/2021
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
Community detection, aiming to group the graph nodes into clusters with ...
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07/08/2021
A Note on General Statistics of Publicly Accessible Knowledge Bases
Knowledge bases are prevalent in various domains and have been widely us...
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06/24/2021
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View
Since the first coronavirus case was identified in the U.S. on Jan. 21, ...
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11/25/2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Recently, the reciprocal recommendation, especially for online dating ap...
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07/16/2020
Inductive Link Prediction for Nodes Having Only Attribute Information
Predicting the link between two nodes is a fundamental problem for graph...
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06/02/2019
Efficient Algorithms for Densest Subgraph Discovery
Densest subgraph discovery (DSD) is a fundamental problem in graph minin...
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04/29/2019
A Survey of Community Search Over Big Graphs
With the rapid development of information technologies, various big grap...
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01/16/2019