tag :: graphs | BibSonomy

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1Best Match Graphs With Binary Trees
https://ieeexplore.ieee.org/abstract/document/9684987/
a year ago by @scch
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best
binary
graphs
match
tree
bestbinarygraphsmatchtree
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1GitHub - dair-ai/GNNs-Recipe: A recipe to study Graph Neural Networks (GNNs)
A recipe to study Graph Neural Networks (GNNs). Contribute to dair-ai/GNNs-Recipe development by creating an account on GitHub.
3 years ago by @topel
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GNN
Graphs
GNNGraphs
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1LOGML - Marinka Zitnik: Graph Representation Learning for Biomedical Discovery - YouTube
https://www.youtube.com/watch?v=hOfcOak-moU&t=1s
3 years ago by @becker
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data
dataset
graph
representation
learning
biomedical
medical
discovery
subgraph
graphs
machine
network
networks
datadatasetgraphrepresentationlearningbiomedicalmedicaldiscoverysubgraphgraphsmachinenetworknetworks
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1mims-harvard/scikit-fusion: scikit-fusion: Data fusion via collective latent factor models
https://github.com/mims-harvard/scikit-fusion
4 years ago by @becker
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data
fusion
mit
multiview
learning
machine
graph
graphs
network
python
sklearn
skfusion
scikit
matrix
factorization
gpu
py
heterogeneous
latent
factor
datafusionmitmultiviewlearningmachinegraphgraphsnetworkpythonsklearnskfusionscikitmatrixfactorizationgpupyheterogeneouslatentfactor
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1Spectral Graph Theory
Spectral Graph Theory 2015
5 years ago by @kirk86
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spectral
theory
website
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4Graph-based Anomaly Detection and Description: A Survey
L. Akoglu, H. Tong, and D. Koutra. arXiv, (2014)
a month ago by @3lli3
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anomaly-detection
graphs
anomaly-detectiongraphs
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2Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry
B. Heinzl, A. Silvina, F. Krause, N. Schwarz, K. Kurniawan, E. Kiesling, M. Pichler, and B. Moser. Software Quality as a Foundation for Security, page 76--87. Cham, Springer Nature Switzerland, (2024)
3 months ago by @scch
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ai
collaboration
graphs
human
integration
knowledge
processes
towards
aicollaborationgraphshumanintegrationknowledgeprocessestowards
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4CompTrails: comparing hypotheses across behavioral networks
T. Koopmann, M. Becker, F. Lemmerich, and A. Hotho. Data Mining and Knowledge Discovery, (2024)
9 months ago by @becker
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comparing
graphs
hypotheses
hypothesis
hyptrails
myown
networks
comparinggraphshypotheseshypothesishyptrailsmyownnetworks
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1Best match graphs and reconciliation of gene trees with species trees
M. Geiß, M. Laffitte, A. Sánchez, D. Valdivia, M. Hellmuth, M. Rosales, and P. Stadler. Journal of Mathematical Biology, 80 (5): 1459--1495 (Apr 1, 2020)
12 months ago by @scch
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best
biology
computational
gene
graphs
match
species
trees
bestbiologycomputationalgenegraphsmatchspeciestrees
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1Knowledge Graphs
A. Hogan, E. Blomqvist, M. Cochez, C. d'Amato, G. de Melo, C. Gutierrez, S. Kirrane, J. Gayo, R. Navigli, S. Neumaier and 8 other author(s). ACM Comput. Surv., 54 (4): 71:1--71:37 (2022)
a year ago by @tomhanika
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graphs
knowledge
lecture
graphsknowledgelecture
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2PROBABILISTIC DIFFUSION IN RANDOM NETWORK GRAPHS
N. Meghanathan. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (5): 7 (September 2015)
a year ago by @devino
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Adopters
Diffusion
Early
Graphs
Network
Probabilistic
Random
Simulations
AdoptersDiffusionEarlyGraphsNetworkProbabilisticRandomSimulations
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2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM
N. Meghanathan. International Journal on Foundations of Computer Science & Technology (IJFCST), 5 (6): 13 (November 2015)
a year ago by @devino
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Centrality
Degree
Eigenvector
Graph
Graphs
Isomorphism
Precursor
Random
Step.
CentralityDegreeEigenvectorGraphGraphsIsomorphismPrecursorRandomStep.
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2Optimizing the Interval-Centric Distributed Computing Model for Temporal Graph Algorithms
A. Baranawal, and Y. Simmhan. Proceedings of the Seventeenth European Conference on Computer Systems, page 541–558. (2022)
a year ago by @vinayaka2000
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distributed
graph
graphs
processing,
temporal
distributedgraphgraphsprocessing,temporal
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5One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
V. Perri, L. Qarkaxhija, A. Zehe, A. Hotho, and I. Scholtes. Proceedings of the Computational Humanities Research Conference 2022, CHR 2022, Antwerp, Belgium, December 12-14, 2022, volume 3290 of CEUR Workshop Proceedings, page 291--317. CEUR-WS.org, (2022)
2 years ago by @dmir
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cls
dh
from:albinzehe
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graphnetworks
graphs
myown
tolkien
author:zeheclsdhfrom:albinzehegnngraphnetworksgraphsmyowntolkien
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5One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
V. Perri, L. Qarkaxhija, A. Zehe, A. Hotho, and I. Scholtes. Proceedings of the Computational Humanities Research Conference 2022, CHR 2022, Antwerp, Belgium, December 12-14, 2022, volume 3290 of CEUR Workshop Proceedings, page 291--317. CEUR-WS.org, (2022)
2 years ago by @albinzehe
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author:zehe
cls
dh
gnn
graphnetworks
graphs
myown
myown:selected
tolkien
author:zeheclsdhgnngraphnetworksgraphsmyownmyown:selectedtolkien
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2MANDO-GURU: Vulnerability Detection for Smart Contract Source Code By Heterogeneous Graph Embeddings
H. Nguyen, N. Nguyen, H. Doan, Z. Ahmadi, T. Doan, and L. Jiang. Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, New York, NY, USA, Association for Computing Machinery, (November 2022)
2 years ago by @erichoang
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Ethereum
blockchain
contracts
detection
graph
graphs
heterogeneous
myown
networks
neural
smart
vulnerability
Ethereumblockchaincontractsdetectiongraphgraphsheterogeneousmyownnetworksneuralsmartvulnerability
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1MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities
H. Nguyen, N. Nguyen, C. Xie, Z. Ahmadi, D. Kudenko, T. Doan, and L. Jiang. Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, (October 2022)
2 years ago by @erichoang
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Ethereum
blockchain
contracts
detection
embedding
graph
graphs
heterogeneous
myown
networks
neural
smart
vulnerability
Ethereumblockchaincontractsdetectionembeddinggraphgraphsheterogeneousmyownnetworksneuralsmartvulnerability
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2A generalization of transformer networks to graphs
V. Dwivedi, and X. Bresson. arXiv preprint arXiv:2012.09699, (2020)
2 years ago by @becker
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citedby:scholar:count:85
citedby:scholar:timestamp:2022-6-29
generalization
graph
graphs
network
neural
toread
transformer
citedby:scholar:count:85citedby:scholar:timestamp:2022-6-29generalizationgraphgraphsnetworkneuraltoreadtransformer
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1Problems and results in Extremal Combinatorics – III
N. Alon. Journal of Combinatorics, 7 (2–3): 233--256 (2016)
2 years ago by @duerrschnabel
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graphs
homometric_sets
graphshomometric_sets
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1On the List Color Function Threshold
H. Kaul, A. Kumar, J. Mudrock, P. Rewers, P. Shin, and K. To. (2022)cite arxiv:2202.03431Comment: 11 pages.
3 years ago by @j.c.m.janssen
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graph_polynomial
graphs
list_colouring
graph_polynomialgraphslist_colouring
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25Modularity and community structure in networks
M. Newman. Proceedings of the national academy of sciences, 103 (23): 8577--8582 (2006)
3 years ago by @becker
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um1
modularity
community
structure
networks
graphs
citedby:scholar:count:11037
citedby:scholar:timestamp:2022-1-28
um1modularitycommunitystructurenetworksgraphscitedby:scholar:count:11037citedby:scholar:timestamp:2022-1-28
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1The geodesic transversal problem on some networks
P. Manuel, B. Bresar, and S. Klavzar. (2021)cite arxiv:2109.09372Comment: 12 Pages and 9 Figures.
3 years ago by @j.c.m.janssen
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graphs
thesis_topic
transversals
graphsthesis_topictransversals
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1General Pattern of Total Coloring of a Prism Graph of Layers and a Grid Graph
S. Sudha, and K. Manikandan. International Journal of Innovative Science and Modern Engineering (IJISME), 3 (2): 33-37 (February 2015)
3 years ago by @ijisme_beiesp
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and
graph
graphs
grid
layers
of
andgraphgraphsgridlayersof
(1)
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1Data Visualization with GraphDB and Workbench
V. Alexiev. Ontotext Corp, (June 2017)
3 years ago by @valexiev
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CNL
CUBE
GraphDB
NLP
OLAP
RDF
SPARQL
charts
graphs
seq2seq
visualization
CNLCUBEGraphDBNLPOLAPRDFSPARQLchartsgraphsseq2seqvisualization
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2Explainable classification of brain networks via contrast subgraphs
T. Lanciano, F. Bonchi, and A. Gionis. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 3308--3318. (2020)
3 years ago by @becker
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kdd
contrast
subgraphs
graphs
correlation
disruption
networks
classification
explainable
interpretable
machine
learning
citedby:scholar:count:4
citedby:scholar:timestamp:2021-8-8
kddcontrastsubgraphsgraphscorrelationdisruptionnetworksclassificationexplainableinterpretablemachinelearningcitedby:scholar:count:4citedby:scholar:timestamp:2021-8-8
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BibSonomy

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1Best Match Graphs With Binary Trees

1GitHub - dair-ai/GNNs-Recipe: A recipe to study Graph Neural Networks (GNNs)

1LOGML - Marinka Zitnik: Graph Representation Learning for Biomedical Discovery - YouTube

1mims-harvard/scikit-fusion: scikit-fusion: Data fusion via collective latent factor models

1Spectral Graph Theory

publications (hide)774
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4Graph-based Anomaly Detection and Description: A Survey

2Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry

4CompTrails: comparing hypotheses across behavioral networks

1Best match graphs and reconciliation of gene trees with species trees

1Knowledge Graphs

2PROBABILISTIC DIFFUSION IN RANDOM NETWORK GRAPHS

2EXPLOITING THE DISCRIMINATING POWER OF THE EIGENVECTOR CENTRALITY MEASURE TO DETECT GRAPH ISOMORPHISM

2Optimizing the Interval-Centric Distributed Computing Model for Temporal Graph Algorithms

5One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

5One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

2MANDO-GURU: Vulnerability Detection for Smart Contract Source Code By Heterogeneous Graph Embeddings

1MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities

2A generalization of transformer networks to graphs

1Problems and results in Extremal Combinatorics – III

1On the List Color Function Threshold

25Modularity and community structure in networks

1The geodesic transversal problem on some networks

1General Pattern of Total Coloring of a Prism Graph of Layers and a Grid Graph

1Data Visualization with GraphDB and Workbench

2Explainable classification of brain networks via contrast subgraphs

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