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Demystifying Graph Databases: Analysis and Taxonomy of Data
  Organization, System Designs, and Graph Queries
v1v2v3v4v5v6v7v8 (latest)

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries

ACM Computing Surveys (ACM CSUR), 2019
20 October 2019
Maciej Besta
Robert Gerstenberger
E. Peter
Marc Fischer
Michal Podstawski
Claude Barthels
Gustavo Alonso
Torsten Hoefler
    GNN
ArXiv (abs)PDFHTML

Papers citing "Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries"

20 / 20 papers shown
Title
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
Michal Podstawski
71
1
0
14 Jul 2025
Siren Federate: Bridging document, relational, and graph models for exploratory graph analysis
Siren Federate: Bridging document, relational, and graph models for exploratory graph analysis
Georgeta Bordea
Stephane Campinas
Matteo Catena
Renaud Delbru
108
0
0
10 Apr 2025
Affordable AI Assistants with Knowledge Graph of Thoughts
Affordable AI Assistants with Knowledge Graph of Thoughts
Maciej Besta
Lorenzo Paleari
Jia Hao Andrea Jiang
Robert Gerstenberger
You Wu
...
Torsten Hoefler
Grzegorz Kwa'sniewski
Marcin Copik
H. Niewiadomski
Torsten Hoefler
LLMAGRALM
1.2K
2
0
03 Apr 2025
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of
  Scalable Graph Clustering
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph ClusteringProceedings of the VLDB Endowment (PVLDB), 2024
Shangdi Yu
Jessica Shi
Jamison Meindl
David Eisenstat
Xiaoen Ju
Sasan Tavakkol
Laxman Dhulipala
Jakub Łącki
Vahab Mirrokni
Julian Shun
121
1
0
15 Nov 2024
GraphInsight: Unlocking Insights in Large Language Models for Graph
  Structure Understanding
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yukun Cao
Shuo Han
Zengyi Gao
Zezhong Ding
Xike Xie
S. Kevin Zhou
225
19
0
05 Sep 2024
The Ontoverse: Democratising Access to Knowledge Graph-based Data
  Through a Cartographic Interface
The Ontoverse: Democratising Access to Knowledge Graph-based Data Through a Cartographic Interface
Johannes Zimmermann
Dariusz Wiktorek
Thomas Meusburger
Miquel Monge-Dalmau
Antonio Fabregat
Alexander Jarasch
Gunter Schmidt
Jorge S Reis-Filho
T. I. Simpson
163
1
0
22 Jul 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
310
5
0
18 Jun 2024
Aligning Large Language Models to a Domain-specific Graph Database
Aligning Large Language Models to a Domain-specific Graph Database
Yuanyuan Liang
Keren Tan
Tingyu Xie
Wenbiao Tao
Siyuan Wang
Yunshi Lan
Weining Qian
163
16
0
26 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of ThoughtsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CELRM
883
49
0
25 Jan 2024
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient
  Transformers
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient TransformersLOG IN (LOG IN), 2023
Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
358
10
0
30 Nov 2023
Knowledge Engineering for Wind Energy
Knowledge Engineering for Wind EnergyWind Energy Science (WES), 2023
Yuriy Marykovskiy
Thomas Clark
Justin Day
Marcus Wiens
Charles Henderson
...
I. Abdallah
A. Sempreviva
Jean-Paul Calbimonte
Eleni Chatzi
Sarah Barber
125
7
0
01 Oct 2023
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges
  and Opportunities
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
Jiaoyan Chen
Hang Dong
Janna Hastings
Ernesto Jiménez-Ruiz
Vanessa Lopez
Pierre Monnin
Catia Pesquita
Petr vSkoda
Valentina A. M. Tamma
325
17
0
29 Sep 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRMAI4CELM&Ro
465
1,000
0
18 Aug 2023
Knowledge Graphs Querying
Knowledge Graphs QueryingSIGMOD record (SIGMOD Record), 2023
Arijit Khan
127
20
0
23 May 2023
The Graph Database Interface: Scaling Online Transactional and
  Analytical Graph Workloads to Hundreds of Thousands of Cores
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of CoresInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023
Maciej Besta
Robert Gerstenberger
Marc Fischer
Michal Podstawski
Nils Blach
...
Wojciech Chlapek
M. Michalewicz
H. Niewiadomski
Juergen Mueller
Torsten Hoefler
306
15
0
18 May 2023
Scaling Knowledge Graphs for Automating AI of Digital Twins
Scaling Knowledge Graphs for Automating AI of Digital TwinsInternational Workshop on the Semantic Web (SW), 2022
J. Ploennigs
Konstantinos Semertzidis
Fabio Lorenzi
Nandana Mihindukulasooriya
97
5
0
26 Oct 2022
Neural Graph Databases
Neural Graph DatabasesLOG IN (LOG IN), 2022
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
166
11
0
20 Sep 2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with
  Probabilistic Set Representations
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set RepresentationsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022
Maciej Besta
Cesare Miglioli
P. S. Labini
Jakub Tvetek
Patrick Iff
...
Grzegorz Kwa'sniewski
Niels Gleinig
Flavio Vella
O. Mutlu
Torsten Hoefler
261
11
0
24 Aug 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
382
71
0
19 May 2022
Motif Prediction with Graph Neural Networks
Motif Prediction with Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2021
Maciej Besta
Raphael Grob
Cesare Miglioli
Nico Bernold
Grzegorz Kwa'sniewski
...
Raghavendra Kanakagiri
Saleh Ashkboos
Lukas Gianinazzi
Nikoli Dryden
Torsten Hoefler
367
42
0
26 May 2021
1