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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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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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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
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biomedical
medical
discovery
subgraph
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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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fusion
mit
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python
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datafusionmitmultiviewlearningmachinegraphgraphsnetworkpythonsklearnskfusionscikitmatrixfactorizationgpupyheterogeneouslatentfactor
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1Spectral Graph Theory
Spectral Graph Theory 2015
5 years ago by @kirk86
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1Probabilistic Circuits Stanford 2019
Probabilistic Circuits Stanford 2019
5 years ago by @kirk86
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graphslectureprobabilityslidesstatstutorials
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2CS 3710: Advanced Topics in Artificial Intelligence (ISSP 3565) - Probabilistic Graphical Models
Probabilistic Graphical Models
5 years ago by @kirk86
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110-708 Probabilistic Graphical Models, Fall 2007
Probabilistic Graphical Models, Fall 2007
5 years ago by @kirk86
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1Probabilistic Models @ Brown CS295P Spring 2013 S
Probabilistic Models Course @ Brown
5 years ago by @kirk86
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1Handbook of Graphical Models
Handbook of Graphical Models by Statisticians
5 years ago by @kirk86
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1Graphical Models
Graphical Models Course
5 years ago by @kirk86
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1GraphVite
https://graphvite.io/
5 years ago by @straybird321
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1Mining Knowledge Graphs from Text | A Tutorial
A Tutorial
5 years ago by @nosebrain
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1Graphical Models Book Michael Jordan
Graphical Models Intro by Michael Jordan
5 years ago by @kirk86
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1Graphical Model Course 2014
Graphical Models Course CMU 2014
5 years ago by @kirk86
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graphs
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110708 Probabilistic Graphical Models
https://www.cs.cmu.edu/~epxing/Class/10708-15/
6 years ago by @kirk86
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1PyTorch-BigGraph: Faster embeddings of large graphs
https://ai.facebook.com/blog/open-sourcing-pytorch-biggraph-for-faster-embeddings-of-extremely-large-graphs
6 years ago by @straybird321
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1Copenhagenize your city: the case for urban cycling in 12 graphs | Cities | The Guardian
Danish-Canadian urban designer Mikael Colville-Andersen busts some common myths and shows how the bicycle has the potential to transform cities around the world
6 years ago by @yish
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1ORIE 6334: Spectral Graph Theory
https://people.orie.cornell.edu/dpw/orie6334/
6 years ago by @prathyush
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algorithms
eigenvalues
graphs
graphtheory
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1Tim Davis: SuiteSparse Matrix Collection : sparse matrices from a wide range of applications
https://www.cise.ufl.edu/research/sparse/matrices/index.html
8 years ago by @bsc
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matrices
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4Graph-based Anomaly Detection and Description: A Survey
L. Akoglu, H. Tong, and D. Koutra. arXiv, (2014)
3 months ago by @3lli3
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anomaly-detection
graphs
anomaly-detectiongraphs
(0)
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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)
5 months ago by @scch
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ai
collaboration
graphs
human
integration
knowledge
processes
towards
aicollaborationgraphshumanintegrationknowledgeprocessestowards
(0)
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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)
11 months ago by @becker
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comparing
graphs
hypotheses
hypothesis
hyptrails
myown
networks
comparinggraphshypotheseshypothesishyptrailsmyownnetworks
(0)
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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)
a year 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
(0)
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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
(0)
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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)
2 years ago by @devino
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Centrality
Degree
Eigenvector
Graph
Graphs
Isomorphism
Precursor
Random
Step.
CentralityDegreeEigenvectorGraphGraphsIsomorphismPrecursorRandomStep.
(0)
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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)
2 years ago by @vinayaka2000
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distributed
graph
graphs
processing,
temporal
distributedgraphgraphsprocessing,temporal
(0)
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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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author:zehe
cls
dh
from:albinzehe
gnn
graphnetworks
graphs
myown
tolkien
author:zeheclsdhfrom:albinzehegnngraphnetworksgraphsmyowntolkien
(0)
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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
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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)
3 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
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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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