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1TGRAPH: Transactions on Graph Data and Knowledge
https://tgraph.info/index.html
a year ago by @hotho
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journal
semantics
tgraph
KG
knowledge
graph
journalsemanticstgraphKGknowledgegraph
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1Bayesian Linear Regression
https://gregorygundersen.com/blog/2020/02/04/bayesian-linear-regression/
a year ago by @becker
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bayesian
linear
background
bayes
regression
knowledge
integration
bayesianlinearbackgroundbayesregressionknowledgeintegration
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1Introducing Neural Structured Learning in TensorFlow | by TensorFlow | TensorFlow | Medium
https://medium.com/tensorflow/introducing-neural-structured-learning-in-tensorflow-5a802efd7afd
3 years ago by @becker
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intro
toread
neural
background
structured
learning
knowledge
networks
integration
introtoreadneuralbackgroundstructuredlearningknowledgenetworksintegration
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1Tree of Knowledge | Surf Simply
https://surfsimply.com/tree-of-knowledge/
3 years ago by @becker
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surfing
volume
size
of
weight
tree
knowledge
board
surfingvolumesizeofweighttreeknowledgeboard
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2NLP's Clever Hans Moment has Arrived
https://thegradient.pub/nlps-clever-hans-moment-has-arrived/
4 years ago by @hotho
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nlp
toread
knowledge
nlptoreadknowledge
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1How much information
http://www2.sims.berkeley.edu/research/projects/how-much-info/how-much-info.pdf#page=14
7 years ago by @hotho
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library
size
data
congress
wj2017
knowledge
librarysizedatacongresswj2017knowledge
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2Microsoft Concept Graph and Concept Tagging Release
https://concept.research.microsoft.com/Home/Introduction
8 years ago by @hotho
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dataset
concept
knowledge
graph
microsoft
ontology
datasetconceptknowledgegraphmicrosoftontology
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2EKAW 2012 | 8 - 12 October 2012, Galway City, Ireland
http://ekaw2012.ekaw.org/
13 years ago by @hotho
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semantic
pc
conference
ekaw
2012
knowledge
semanticpcconferenceekaw2012knowledge
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3CIKM 2011
http://www.cikm2011.org/
13 years ago by @hotho
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pc
conference
management
mining
data
dm
2011
knowledge
pcconferencemanagementminingdatadm2011knowledge
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3Read the Web :: Carnegie Mellon University
http://rtw.ml.cmu.edu/rtw/
13 years ago by @hotho
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read
system
web
kb
cmu
tools
knowledge
base
readsystemwebkbcmutoolsknowledgebase
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26Gephi, an open source graph visualization and manipulation software
http://gephi.org/
14 years ago by @atzmueller
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visualizatiohn
mining
data
discovery
analysis
knowledge
graph
visualizatiohnminingdatadiscoveryanalysisknowledgegraph
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1Semantic Ubicom Services (SUBI)
http://www.seco.tkk.fi/projects/subi/
14 years ago by @atzmueller
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ubiquitous
venus
mining
discovery
knowledge
ubiquitousvenusminingdiscoveryknowledge
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1Jetty + Jersey: RESTful Web services made easy - wikis.sun.com
embedded jetty + jersey
14 years ago by @atzmueller
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rest
data
jetty
jersey
knowledge
restdatajettyjerseyknowledge
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3ROKT Blog
Blog on "Research on Knowledge Technologies" at the University of Würzburg
15 years ago by @atzmueller
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vikamine
technologies
textmarker
knowledge
d3web
vikaminetechnologiestextmarkerknowledged3web
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4K-CAP 2009 - The Fifth International Conference on Knowledge Capture
http://kcap09.stanford.edu/
16 years ago by @hotho
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2009
myown
conference
kcap
workshop
knowledge
2009myownconferencekcapworkshopknowledge
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3Knowledge CAPture
http://www.k-cap.org/
16 years ago by @hotho
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conference
capture
knowledge
conferencecaptureknowledge
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4ConceptNet
http://conceptnet.media.mit.edu/
16 years ago by @hotho
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conceptnet
common
sense
tools
knowledge
conceptnetcommonsensetoolsknowledge
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1Ubiquitous Knowledge Discovery Workshop 2008 (UKD 08) : Main - Home browse
http://wiki.kdubiq.org/UbiqKD_1stWorkshopPKDD08/index.php/Main/Home
16 years ago by @hotho
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2008
ubiquitous
pc
workshop
discovery
knowledge
2008ubiquitouspcworkshopdiscoveryknowledge
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7KnowItAll
http://www.cs.washington.edu/research/knowitall/
17 years ago by @hotho
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semantic
rdf
web
data
ie
knowledge
search
semanticrdfwebdataieknowledgesearch
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2CKC2007 - International Workshop on Social and Collaborative Construction of Structured Knowledge @ WWW2007
https://km.aifb.uni-karlsruhe.de/ws/ckc2007
17 years ago by @hotho
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2007
social
collaborative
workshop
ckc
knowledge
2007socialcollaborativeworkshopckcknowledge
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1Unifying Large Language Models and Knowledge Graphs: A Roadmap
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. (2024)
2 months ago by @hotho
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models
large
language
KG
knowledge
modelslargelanguageKGknowledge
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1Feature-weighted elastic net: using "features of features" for better prediction
J. Tay, N. Aghaeepour, T. Hastie, and R. Tibshirani. Statistica Sinica, 33 (1): 259--279 (January 2023)
3 months ago by @becker
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ien
linear
background
machine
regression
learning
knowledge
bki
ml
informed
integration
ienlinearbackgroundmachineregressionlearningknowledgebkimlinformedintegration
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2Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
H. Chereda, A. Bleckmann, F. Kramer, A. Leha, and T. Beissbarth. Studies in health technology and informatics, (September 2019)
3 months ago by @becker
show all tags
neural
background
gnn
machine
learning
knowledge
networks
graph
bki
ml
informed
integration
neuralbackgroundgnnmachinelearningknowledgenetworksgraphbkimlinformedintegration
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2The Deskilling of Domain Expertise in AI Development
N. Sambasivan, and R. Veeraraghavan. CHI Conference on Human Factors in Computing Systems, page 1--14. (2022)
a year ago by @becker
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domain
artificial
deskilling
machine
citedby:scholar:count:13
ai
learning
knowledge
expertise
themis
intelligence
citedby:scholar:timestamp:2022-12-8
domainartificialdeskillingmachinecitedby:scholar:count:13ailearningknowledgeexpertisethemisintelligencecitedby:scholar:timestamp:2022-12-8
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1A biomedical open knowledge network harnesses the power of AI to understand deep human biology
S. Baranzini, K. Börner, J. Morris, C. Nelson, K. Soman, E. Schleimer, M. Keiser, M. Musen, R. Pearce, T. Reza and 1 other author(s). Ai Magazine, 43 (1): 46--58 (2022)
2 years ago by @becker
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biology
citedby:scholar:timestamp:2022-6-21
ai
learning
biomedical
network
graph
citedby:scholar:count:1
background
machine
human
knowledge
open
biologycitedby:scholar:timestamp:2022-6-21ailearningbiomedicalnetworkgraphcitedby:scholar:count:1backgroundmachinehumanknowledgeopen
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1Pharmacogenomics knowledge for personalized medicine
M. Whirl-Carrillo, E. McDonagh, J. Hebert, L. Gong, K. Sangkuhl, C. Thorn, R. Altman, and T. Klein. Clinical Pharmacology & Therapeutics, 92 (4): 414--417 (2012)
2 years ago by @becker
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personalized
database
pharmacogenomics
medicine
citedby:scholar:timestamp:2022-6-17
citedby:scholar:count:1674
knowledge
personalizeddatabasepharmacogenomicsmedicinecitedby:scholar:timestamp:2022-6-17citedby:scholar:count:1674knowledge
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2Evolution-Informed Neural Networks for Microbiome Data Analysis
M. Ito, Y. Glaser, and P. Sadowski. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), page 3386--3391. IEEE, (2021)
2 years ago by @becker
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deep
background
micribiome
bioinformatics
neutral
learning
knowledge
network
information
themis
nn
deepbackgroundmicribiomebioinformaticsneutrallearningknowledgenetworkinformationthemisnn
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2Integrating Machine Learning with Human Knowledge
C. Deng, X. Ji, C. Rainey, J. Zhang, and W. Lu. iScience, 23 (11): 101656 (2020)
2 years ago by @becker
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background
machine
review
learning
survey
knowledge
integration
backgroundmachinereviewlearningsurveyknowledgeintegration
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1Building a knowledge graph to enable precision medicine
P. Chandak, K. Huang, and M. Zitnik. bioRxiv, (2022)
2 years ago by @becker
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toread
precision
medicine
knowledge
graph
toreadprecisionmedicineknowledgegraph
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3Drum: End-to-end differentiable rule mining on knowledge graphs
A. Sadeghian, M. Armandpour, P. Ding, and D. Wang. Advances in Neural Information Processing Systems, (2019)
2 years ago by @becker
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citedby:scholar:count:73
mining
drum
endtoend
citedby:scholar:timestamp:2022-5-11
knowledge
graph
rule
citedby:scholar:count:73miningdrumendtoendcitedby:scholar:timestamp:2022-5-11knowledgegraphrule
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2GreaseLM: Graph REASoning Enhanced Language Models
X. Zhang, A. Bosselut, M. Yasunaga, H. Ren, P. Liang, C. Manning, and J. Leskovec. International Conference on Learning Representations, (2021)
2 years ago by @becker
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nlp
toread
reasoning
neural
language
model
knowledge
network
jure
graph
nlptoreadreasoningneurallanguagemodelknowledgenetworkjuregraph
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1A knowledge graph to interpret clinical proteomics data
A. Santos, A. Colaco, A. Nielsen, L. Niu, M. Strauss, P. Geyer, F. Coscia, N. Albrechtsen, F. Mundt, L. Jensen and 1 other author(s). Nature Biotechnology, (2022)
2 years ago by @becker
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domain
clinical
proteomics
background
data
medicine
knowledge
network
graph
domainclinicalproteomicsbackgrounddatamedicineknowledgenetworkgraph
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1Integrated intra-and intercellular signaling knowledge for multicellular omics analysis
D. Türei, A. Valdeolivas, L. Gul, N. Palacio-Escat, M. Klein, O. Ivanova, M. Ölbei, A. Gábor, F. Theis, D. Módos and 1 other author(s). Molecular systems biology, 17 (3): e9923 (2021)
2 years ago by @becker
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immune
project:iti-single-cell
citedby:scholar:count:35
network
networks
cell
citedby:scholar:timestamp:2022-2-23
cells
system
database
pubmed
mining
background
text
cytokines
knowledge
immuneproject:iti-single-cellcitedby:scholar:count:35networknetworkscellcitedby:scholar:timestamp:2022-2-23cellssystemdatabasepubmedminingbackgroundtextcytokinesknowledge
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1Immune-centric network of cytokines and cells in disease context identified by computational mining of PubMed
K. Kveler, E. Starosvetsky, A. Ziv-Kenet, Y. Kalugny, Y. Gorelik, G. Shalev-Malul, N. Aizenbud-Reshef, T. Dubovik, M. Briller, J. Campbell and 1 other author(s). Nature biotechnology, 36 (7): 651--659 (2018)
2 years ago by @becker
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citedby:scholar:count:51
immune
project:iti-single-cell
network
networks
cell
citedby:scholar:timestamp:2022-2-23
cells
system
database
pubmed
mining
background
text
cytokines
knowledge
citedby:scholar:count:51immuneproject:iti-single-cellnetworknetworkscellcitedby:scholar:timestamp:2022-2-23cellssystemdatabasepubmedminingbackgroundtextcytokinesknowledge
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2Explainable machine learning for scientific insights and discoveries
R. Roscher, B. Bohn, M. Duarte, and J. Garcke. Ieee Access, (2020)
3 years ago by @becker
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project:bmbf
citedby:scholar:count:139
background
prior
machine
learning
citedby:scholar:timestamp:2021-7-25
human
knowledge
themis
integration
project:bmbfcitedby:scholar:count:139backgroundpriormachinelearningcitedby:scholar:timestamp:2021-7-25humanknowledgethemisintegration
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1Informed Machine Learning--A Taxonomy and Survey of Integrating Knowledge into Learning Systems
L. von Rueden, S. Mayer, K. Beckh, B. Georgiev, S. Giesselbach, R. Heese, B. Kirsch, J. Pfrommer, A. Pick, R. Ramamurthy and 1 other author(s). arXiv preprint arXiv:1903.12394, (2019)
3 years ago by @becker
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project:bmbf
citedby:scholar:count:45
background
prior
machine
learning
citedby:scholar:timestamp:2021-7-25
human
knowledge
integration
project:bmbfcitedby:scholar:count:45backgroundpriormachinelearningcitedby:scholar:timestamp:2021-7-25humanknowledgeintegration
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2Integrating Machine Learning with Human Knowledge
C. Deng, X. Ji, C. Rainey, J. Zhang, and W. Lu. Iscience, (2020)
3 years ago by @becker
show all tags
project:bmbf
background
prior
citedby:scholar:count:4
machine
learning
citedby:scholar:timestamp:2021-7-25
human
knowledge
integration
project:bmbfbackgroundpriorcitedby:scholar:count:4machinelearningcitedby:scholar:timestamp:2021-7-25humanknowledgeintegration
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1Machine learning for perturbational single-cell omics
Y. Ji, M. Lotfollahi, F. Wolf, and F. Theis. Cell Systems, 12 (6): 522--537 (2021)
3 years ago by @becker
show all tags
models
modeling
deep
wolf
perturbation
theis
learning
multi
cell
omics
background
machine
multiomics
review
survey
model
knowledge
single
generative
integration
modelsmodelingdeepwolfperturbationtheislearningmulticellomicsbackgroundmachinemultiomicsreviewsurveymodelknowledgesinglegenerativeintegration
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6LM4KG: Improving Common Sense Knowledge Graphs with Language Models
J. Omeliyanenko, A. Zehe, L. Hettinger, and A. Hotho. The Semantic Web -- ISWC 2020, page 456--473. Cham, Springer International Publishing, (2020)
3 years ago by @hotho
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lm
nlp
myown
semantic
language
model
kg
2020
knowledge
graph
selected
lmnlpmyownsemanticlanguagemodelkg2020knowledgegraphselected
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1Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
G. Jurman, V. Maggio, D. Fioravanti, Y. Giarratano, I. Landi, M. Francescatto, C. Agostinelli, M. Chierici, M. De Domenico, and C. Furlanello. arXiv preprint arXiv:1710.05918, (2017)
4 years ago by @becker
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convolutional
cnn
neural
network
graph
multi
structure
citedby:scholar:count:2
omics
background
multiomics
citedby:scholar:timestamp:2020-8-31
knowledge
convolutionalcnnneuralnetworkgraphmultistructurecitedby:scholar:count:2omicsbackgroundmultiomicscitedby:scholar:timestamp:2020-8-31knowledge
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