Machine learning for subgraph extraction: Methods, applications and challenges

KS Yow, N Liao, S Luo, R Cheng - Proceedings of the VLDB Endowment, 2023 - dl.acm.org
Subgraphs are obtained by extracting a subset of vertices and a subset of edges from the
associated original graphs, and many graph properties are known to be inherited by …

Neural similarity search on supergraph containment

H Wang, J Yu, X Wang, C Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Supergraph search is a fundamental graph query processing problem. Supergraph search
aims to find all data graphs contained in a given query graph based on the subgraph …

Learned sketch for subgraph counting: a holistic approach

K Zhao, JX Yu, Q Li, H Zhang, Y Rong - The VLDB Journal, 2023 - Springer
Subgraph counting, as a fundamental problem in network analysis, is to count the number of
subgraphs in a data graph that match a given query graph by either homomorphism or …

Computing graph edit distance via neural graph matching

C Piao, T Xu, X Sun, Y Rong, K Zhao… - Proceedings of the VLDB …, 2023 - dl.acm.org
Graph edit distance (GED) computation is a fundamental NP-hard problem in graph theory.
Given a graph pair (G 1, G 2), GED is defined as the minimum number of primitive …

Neural Attributed Community Search at Billion Scale

J Wang, K Wang, X Lin, W Zhang, Y Zhang - Proceedings of the ACM on …, 2024 - dl.acm.org
Community search has been extensively studied in the past decades. In recent years, there
is a growing interest in attributed community search that aims to identify a community based …

Graphmm: Graph-based vehicular map matching by leveraging trajectory and road correlations

Y Liu, Q Ge, W Luo, Q Huang, L Zou… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
Map matching of sparse vehicle trajectories is a fundamental problem in location-based
services, such as traffic flow analysis and vehicle routing. Existing literature mainly relies on …

gsword: Gpu-accelerated sampling for subgraph counting

C Ye, Y Li, S Sun, W Guo - Proceedings of the ACM on Management of …, 2024 - dl.acm.org
Subgraph counting is a fundamental component for many downstream applications such as
graph representation learning and query optimization. Since obtaining the exact count is …

Fast Local Subgraph Counting

Q Li, JX Yu - Proceedings of the VLDB Endowment, 2024 - dl.acm.org
We study local subgraph counting queries, Q=(p, o), to count how many times a given k-
node pattern graph p appears around every node υ in a data graph G when the given center …

Prerequisite-driven Fair Clustering on Heterogeneous Information Networks

J Zhang, S Wang, Y Sun, Z Peng - … of the ACM on Management of Data, 2023 - dl.acm.org
This paper studies the problem of fair clustering on heterogeneous information networks
(HINs) by considering constraints on structural and sensitive attributes. We propose a …

Inductive Attributed Community Search: To Learn Communities Across Graphs

S Fang, K Zhao, Y Rong, Z Li, JX Yu - Proceedings of the VLDB …, 2024 - dl.acm.org
Attributed community search (ACS) aims to identify subgraphs satisfying both structure
cohesiveness and attribute homogeneity in attributed graphs, for a given query that contains …