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Cypher: An evolving query language for property graphs
N Francis, A Green, P Guagliardo, L Libkin… - Proceedings of the …, 2018 - dl.acm.org
The Cypher property graph query language is an evolving language, originally designed
and implemented as part of the Neo4j graph database, and it is currently used by several …
and implemented as part of the Neo4j graph database, and it is currently used by several …
Identifying Top-k Nodes in Social Networks: A Survey
Top-k nodes are the important actors for a subjectively determined topic in a social network.
To some extent, a topic is taken as a ranking criteria for identifying top-k nodes. Within a viral …
To some extent, a topic is taken as a ranking criteria for identifying top-k nodes. Within a viral …
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models
S Vernikou, A Lyras, A Kanavos - Neural Computing and Applications, 2022 - Springer
COVID-19 is an infectious disease with its first recorded cases identified in late 2019, while
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …
Exploring clustering techniques for analyzing user engagement patterns in Twitter data
Social media platforms have revolutionized information exchange and socialization in
today's world. Twitter, as one of the prominent platforms, enables users to connect with …
today's world. Twitter, as one of the prominent platforms, enables users to connect with …
Formal semantics of the language cypher
Cypher is a query language for property graphs. It was originally designed and implemented
as part of the Neo4j graph database, and it is currently used in a growing number of …
as part of the Neo4j graph database, and it is currently used in a growing number of …
Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j
Ranking account influence constitutes an important challenge in social media analysis. Until
recently, influence ranking relied solely on the structural properties of the underlying social …
recently, influence ranking relied solely on the structural properties of the underlying social …
Power iteration graph clustering with functools higher order methods
Graph mining operations take place on an unprecedented scale, dictating the need for
scalability in both algorithms and implementation. In the context of graph partitioning, which …
scalability in both algorithms and implementation. In the context of graph partitioning, which …
Scalable pointer analysis of data structures using semantic models
Pointer analysis is widely used as a base for different kinds of static analyses and compiler
optimizations. Designing a scalable pointer analysis with acceptable precision for use in …
optimizations. Designing a scalable pointer analysis with acceptable precision for use in …
Execution time prediction for cypher queries in the neo4j database using a learning approach
Z He, J Yu, B Guo - Symmetry, 2022 - mdpi.com
With database management systems becoming complex, predicting the execution time of
graph queries before they are executed is one of the challenges for query scheduling …
graph queries before they are executed is one of the challenges for query scheduling …
[PDF][PDF] openCypher: New Directions in Property Graph Querying.
A Green, M Junghanns, M Kießling, T Lindaaker… - EDBT, 2018 - academia.edu
Cypher is a property graph query language that provides expressive and efficient querying
of graph data. Originally designed and implemented within the Neo4j graph database, it is …
of graph data. Originally designed and implemented within the Neo4j graph database, it is …