Huge: An efficient and scalable subgraph enumeration system
Subgraph enumeration is a fundamental problem in graph analytics, which aims to find all
instances of a given query graph on a large data graph. In this paper, we propose a system …
instances of a given query graph on a large data graph. In this paper, we propose a system …
Distributed hop-constrained st simple path enumeration at billion scale
Hop-constrained st simple path (HC-st path) enumeration is a fundamental problem in graph
analysis and has received considerable attention recently. Straightforward distributed …
analysis and has received considerable attention recently. Straightforward distributed …
An empirical study on recent graph database systems
Graphs are widely used to model the intricate relationships among objects in a wide range
of applications. The advance in graph data has brought significant value to artificial …
of applications. The advance in graph data has brought significant value to artificial …
Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs
Hop-constrained st simple path (HC-st path) enumeration is a fundamental problem in graph
analysis. Existing solutions for this problem focus on unlabelled graphs and assume queries …
analysis. Existing solutions for this problem focus on unlabelled graphs and assume queries …
Efficient and scalable distributed graph structural clustering at billion scale
Abstract Structural Graph Clustering (SCAN) is a fundamental problem in graph analysis
and has received considerable attention recently. Existing distributed solutions either lack …
and has received considerable attention recently. Existing distributed solutions either lack …
Efficient Distributed Core Graph Decomposition
Core decomposition is one of the most fundamental problems in graph analytics, which is
associated with numerous applications, such as community detection, protein network …
associated with numerous applications, such as community detection, protein network …
SQL2Cypher: automated data and query migration from RDBMS to GDBMS
There are many real-world application domains where data can be naturally modelled as a
graph, such as social networks and computer networks. Relational Database Management …
graph, such as social networks and computer networks. Relational Database Management …
Efficient Path Enumeration and Structural Clustering on Massive Graphs
K Hao - 2023 - unsworks.unsw.edu.au
Graph analysis plays a crucial role in understanding the relationships and structures within
complex systems. This thesis focuses on addressing fundamental problems in graph …
complex systems. This thesis focuses on addressing fundamental problems in graph …
FGAQ: Accelerating Graph Analytical Queries Using FPGA
Field-programmable gate arrays (FPGAs) have significant advantages in parallelism and
energy efficiency over CPUs and GPUs and are widely deployed by many enterprises and …
energy efficiency over CPUs and GPUs and are widely deployed by many enterprises and …
S2CTrans: Building a bridge from SPARQL to Cypher
Z Zhao, X Ge, Z Shen, C Hu, H Wang - International Conference on …, 2023 - Springer
In graph data applications, data is primarily maintained using two models: RDF (Resource
Description Framework) and property graph. The property graph model is widely adopted by …
Description Framework) and property graph. The property graph model is widely adopted by …