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 …

Identifying Top-k Nodes in Social Networks: A Survey

R Bian, YS Koh, G Dobbie, A Divoli - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

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 …

Exploring clustering techniques for analyzing user engagement patterns in Twitter data

A Kanavos, I Karamitsos, A Mohasseb - Computers, 2023 - mdpi.com
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 …

Formal semantics of the language cypher

N Francis, A Green, P Guagliardo, L Libkin… - arxiv preprint arxiv …, 2018 - arxiv.org
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 …

Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j

G Drakopoulos, A Kanavos, P Mylonas… - Social Network Analysis …, 2017 - Springer
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 …

Power iteration graph clustering with functools higher order methods

G Drakopoulos, G Bardis… - 2024 19th International …, 2024 - ieeexplore.ieee.org
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 …

Scalable pointer analysis of data structures using semantic models

P Fegade, C Wimmer - Proceedings of the 29th International Conference …, 2020 - dl.acm.org
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 …

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 …

[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 …