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To my #DigitalHumanities #TDM #AI/#ML folk - check out @andreswagner @GraknLabs #Grakn schema, then dive into @jmsfltchr’s #KGCN #KnowledgeGraph convolutional network #Python library if looking for emerging ideas in digitization pipeline tech.
Hey @graknlabs! I think I just built the first version of a schema that represents any document annotated with #WatsonKnowledgeStudio into Grakn! Kudos to @tasabat and the #graknAcademy 🍻

.@GraknLabs @jmsfltchr @tasabat @maier_ak @v_christlein @cneudecker 2/2 - My interest in #KGCN is 2 leverage #MAGAZINEgts #groundtruth #metamodel 'prior knowledge' of doc struct & content depiction model for #OCR/#OLR machine & hybrid digitization pipelines.

To my #DigitalHumanities #TDM #AI/#ML folk, Tue free @GraknLabs webinar will showcase @jmsfltchr's #KGCN #KnowledgeGraph Convolutional Network (AKA #CNN). Link to register in retweet. Bkgnd read here: https://t.co/QCb5cOiceH. 1/2
@tasabat @GraknLabs Very good idea Tomas, I will give it a thought but its good to look at #kgcn first and understand it before I can make anything to showcase my/our thinking
@GraknLabs. Is there any use cases In marketing or CRM? Prediction of customer actions based on contacts on touchpoints? #kgcn
is there a sample data set & schema available for us to try this approach to training and testing models (referring to James’s example diagnosing Type2 Diabetes and Multiple Sclerosis)? @GraknLabs #kgcn
How much work would it be you think to mould the current/existing tools to be able to train on graph-based datasets/databases? Let's say we start with a simple component first. Which ones would be best to start with say "which library/framework" would it be?
@GraknLabs #kgcn
@GraknLabs @graknlabs #kgcn Assuming there was uncertainty about the classification of the data, how would this be handled with Grakn? Would it be the case to associate an attribute containing the probability of each entity, but treat that probability outside the KG?

@GraknLabs @graknlabs #kgcn
Assuming someone wanted to create graph embeddings with models other than GraphSAGE, it seems to me that it would be necessary for KG data to be available for export. Is it right? Does Grakn already have a KG data migration mechanism available?
@v_christlein @maier_ak @FAU_Germany @GraknLabs @TimlynnBabitsky Per #KGCN (knowledge graph convolutional networks) being a means to tap #MAGAZINEgts metamodel subgraph to infer rather than require exposure to instance, consider a 1/6 pg horiz ad in Softalk. 8 positions on 3 col pg. Can we train 2 'know' that rather than having 'seen' it? 2/2

Yo @maier_ak & @v_christlein @FAU_Germany. During #StayAtHome for Pattern Recognition Lab, do you have a talented, publication-hungry student or jr faculty interested in collab on #DATeCH2021 paper for next #MAGAZINEgts step via @GraknLabs #KGCN!? :D
Adding more @GraknLabs #graknNLP context seeking collab/advice: Here's link 2 Softalk #MAGAZINEgts file @internetarchive: https://t.co/1EtwRnOKcN. Images #DATeCH2017 & #DATeCH2019 posters. I believe #KGCN will enable inferences btw metamodel subgraph & structure/content datasets.

Adding more @GraknLabs #graknNLP context seeking collab/advice: Here's link 2 Softalk #MAGAZINEgts file @internetarchive: https://t.co/1EtwRnOKcN. Images #DATeCH2017 & #DATeCH2019 posters. I believe #KGCN will enable inferences btw metamodel subgraph & structure/content datasets.

@visual_linguist @StephanPackard Yo Neil & ur s/w dev team -- Two human resources to befriend in ur years' long dev effort are @codexeditor & @TNO_Research's recent hire Fieke Hillerström (https://t.co/7rJq80m196) per her interest in @GraknLabs #KGCN knowledge graph convolutional networks. cc: @jjnoordegraaf
Heads up @maier_ak @v_christlein & @FAU_Germany Pattern Lab fac & students - Fieke Hillerstrom's #COSMOS2020 prez on @GraknLabs & @jmsfltchr's #KGCN Knowledge Graph Convolutional Network is up on @YouTube here: https://t.co/74urt9bhaT Left comment to provide #MAGAZINEgts context.
After digesting unique hyper(knowledge)graph features of core @GraknLabs #Grakn, check out @jmsfltchr's talk on #KGCN here: https://t.co/aduzsPZ74A & article here: https://t.co/QCb5cOiceH 2/3
Yo @maier_ak & @v_christlein of @FAU_Germany #PatternRecognition Lab - Let's find student/jr.fac to help me & @jmsfltchr @GraknLabs update #KGCN Knowledge Graph Convolutional Network to #TF2/#Sonnet2. #DATeCH2021 paper to document. Start w/ webinar: https://t.co/PNQstrBtYn 1/3
Yo @maier_ak & @v_christlein @FAU_Germany Pattern Lab - Per email w/ Andreas a/b collab on #MAGAZINEgts & @GraknLabs #KGCN update, #DATeCH2021 pp, etc., plz watch fr #MCN2014: https://t.co/z9oALOym4n. (For overuse of 'curate', think #GroundTruth datasets.) cc: @jmsfltchr 1/3
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