#linkprediction — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #linkprediction, aggregated by home.social.
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Very proud to see Guillaume and Ndeye-Emilie, two of my PhD students, awarded at #ESWC2026! Congratulations to them!
#ESWC2026 #MachineLearning #KnowledgeGraph #SemanticWeb #NLP #LowResourceLanguages #GraphEmbedding #ArtificialIntelligence #linkPrediction
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Very proud to see Guillaume and Ndeye-Emilie, two of my PhD students, awarded at #ESWC2026! Congratulations to them!
#ESWC2026 #MachineLearning #KnowledgeGraph #SemanticWeb #NLP #LowResourceLanguages #GraphEmbedding #ArtificialIntelligence #linkPrediction
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Very proud to see Guillaume and Ndeye-Emilie, two of my PhD students, awarded at #ESWC2026! Congratulations to them!
#ESWC2026 #MachineLearning #KnowledgeGraph #SemanticWeb #NLP #LowResourceLanguages #GraphEmbedding #ArtificialIntelligence #linkPrediction
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Very proud to see Guillaume and Ndeye-Emilie, two of my PhD students, awarded at #ESWC2026! Congratulations to them!
#ESWC2026 #MachineLearning #KnowledgeGraph #SemanticWeb #NLP #LowResourceLanguages #GraphEmbedding #ArtificialIntelligence #linkPrediction
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Very proud to see Guillaume and Ndeye-Emilie, two of my PhD students, awarded at #ESWC2026! Congratulations to them!
#ESWC2026 #MachineLearning #KnowledgeGraph #SemanticWeb #NLP #LowResourceLanguages #GraphEmbedding #ArtificialIntelligence #linkPrediction
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Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
https://2024.eswc-conferences.org/wp-content/uploads/2024/04/146640020.pdf#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding
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PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips https://2024.eswc-conferences.org/wp-content/uploads/2024/04/146640336-1.pdf
#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding
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Very glad to announce that we got 2 best paper awards at #ESWC2024 for our works about PyGraft (resource track) and semantically enhanced loss functions to learn graph #embedding (research track)! Congratulations Nicolas Hubert!
#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding
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Very happy to announce our new paper accepted in @eswc_conf
#ESWC2024: "Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction"!📎 https://arxiv.org/pdf/2303.00286.pdf
w/ N. Hubert, A. Brun, and D. Monticolo
#knowledgeGraph #semanticWeb #machineLearning #linkPrediction #neurosymbolicAI #artificialIntelligence #linkedOpenData #graphEmbeddings #embeddings #graphNeuralNetworks
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Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraftPyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
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Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraftPyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
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Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraftPyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
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Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraftPyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
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Our paper "PyGraft: Configurable Generation of Synthetic #Schemas and #KnowledgeGraphs at Your Fingertips" has been accepted in @eswc_conf #ESWC2024!
Paper: https://arxiv.org/pdf/2309.03685.pdf
Code: https://github.com/nicolas-hbt/pygraftPyGraft is a configurable #Python tool to generate both synthetic #schemas and #knowledgeGraphs easily, supporting several RDFS and OWL constructs. These #datasets are useful for, e.g., #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing
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2nd add on to our free MOOC lecture series on #KnowledgeGraphs is a colab notebook on knowledge graph completion with TransE through which my colleagues Ann Tan and @MahsaVafaie will guide you in the video.
#OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/48Sn5Tr9RKo24RXu7OwgOz
youtube video: https://www.youtube.com/watch?v=IVTVzgCbHOw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=67
colab notebook: https://colab.research.google.com/drive/104ad-kusmzfYgkK_L8ETWUAjfdreE9e2#scrollTo=fQ08XPbaZgQ4@fizise @fiz_karlsruhe #semanticweb #kge #embeddings #linkprediction #videolecture #video
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2nd add on to our free MOOC lecture series on #KnowledgeGraphs is a colab notebook on knowledge graph completion with TransE through which my colleagues Ann Tan and @MahsaVafaie will guide you in the video.
#OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/48Sn5Tr9RKo24RXu7OwgOz
youtube video: https://www.youtube.com/watch?v=IVTVzgCbHOw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=67
colab notebook: https://colab.research.google.com/drive/104ad-kusmzfYgkK_L8ETWUAjfdreE9e2#scrollTo=fQ08XPbaZgQ4@fizise @fiz_karlsruhe #semanticweb #kge #embeddings #linkprediction #videolecture #video
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2nd add on to our free MOOC lecture series on #KnowledgeGraphs is a colab notebook on knowledge graph completion with TransE through which my colleagues Ann Tan and @MahsaVafaie will guide you in the video.
#OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/48Sn5Tr9RKo24RXu7OwgOz
youtube video: https://www.youtube.com/watch?v=IVTVzgCbHOw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=67
colab notebook: https://colab.research.google.com/drive/104ad-kusmzfYgkK_L8ETWUAjfdreE9e2#scrollTo=fQ08XPbaZgQ4@fizise @fiz_karlsruhe #semanticweb #kge #embeddings #linkprediction #videolecture #video
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2nd add on to our free MOOC lecture series on #KnowledgeGraphs is a colab notebook on knowledge graph completion with TransE through which my colleagues Ann Tan and @MahsaVafaie will guide you in the video.
#OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/48Sn5Tr9RKo24RXu7OwgOz
youtube video: https://www.youtube.com/watch?v=IVTVzgCbHOw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=67
colab notebook: https://colab.research.google.com/drive/104ad-kusmzfYgkK_L8ETWUAjfdreE9e2#scrollTo=fQ08XPbaZgQ4@fizise @fiz_karlsruhe #semanticweb #kge #embeddings #linkprediction #videolecture #video
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2nd add on to our free MOOC lecture series on #KnowledgeGraphs is a colab notebook on knowledge graph completion with TransE through which my colleagues Ann Tan and @MahsaVafaie will guide you in the video.
#OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/48Sn5Tr9RKo24RXu7OwgOz
youtube video: https://www.youtube.com/watch?v=IVTVzgCbHOw&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=67
colab notebook: https://colab.research.google.com/drive/104ad-kusmzfYgkK_L8ETWUAjfdreE9e2#scrollTo=fQ08XPbaZgQ4@fizise @fiz_karlsruhe #semanticweb #kge #embeddings #linkprediction #videolecture #video
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Knowledge Graph Embeddings (KGEs) are a very useful tool for few- and zero-shot learning. Of course Link Prediction and #KnowledgeGraph Completion are the most prominent tasks for KGEs. My colleague Ann Tan and I will start our investigation of KGEs in this section of our free #kg2023 lecture.
OpenHPI video: https://open.hpi.de/courses/knowledgegraphs2023/items/3xfeKrryLMeY45OXSwBd86
youtube video: https://www.youtube.com/watch?v=UGmtYSCXsQk&list=PLNXdQl4kBgzubTOfY5cbtxZCgg9UTe-uF&index=62
slides: https://zenodo.org/records/10185280
@tabea @sashabruns @MahsaVafaie @fiz_karlsruhe @fizise #embeddings #linkprediction -
PyGraft will help you generate new and tailored benchmark KG #datasets useful in various fields including but not limited to #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing, pattern mining, reasoning, scalability studies, etc.
Feel free to download, star, fork, share and tell us about any usage you foresee! We welcome all contributions or ideas to improve PyGraft! Looking forward to feedback from #semanticWeb #machineLearning and other communities!
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PyGraft will help you generate new and tailored benchmark KG #datasets useful in various fields including but not limited to #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing, pattern mining, reasoning, scalability studies, etc.
Feel free to download, star, fork, share and tell us about any usage you foresee! We welcome all contributions or ideas to improve PyGraft! Looking forward to feedback from #semanticWeb #machineLearning and other communities!
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PyGraft will help you generate new and tailored benchmark KG #datasets useful in various fields including but not limited to #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing, pattern mining, reasoning, scalability studies, etc.
Feel free to download, star, fork, share and tell us about any usage you foresee! We welcome all contributions or ideas to improve PyGraft! Looking forward to feedback from #semanticWeb #machineLearning and other communities!
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As a 2nd topic of this last #ise2023 lecture, we were discussing #KnowledgeGraph Completion. Most simple approach for unsupervised #linkprediction based on (here translation-based) knowledge graph embeddings was explained on the example of Isaac Asimov.
Slides: https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link
@fizise @enorouzi #scifi #knowledgegraphs #ai #deeplearning #embeddings -
Topics of the last #ise2023 lecture; The Graph in #KnowledgeGraphs, Knowledge Graph Completion, A Brief History of Large Language Models, and Knowledge Graphs and Large Language Models. I will highlight some topics with the upcoming toots...
Slides: https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link
#llms #languagemodels #deeplearning #linkprediction #kgc #lecture #machinelearning #transformers #gpt @fizise @enorouzi -
Thrilled to announce our new preprint "Sem@K: Is my knowledge graph embedding model semantic-aware?" on arXiv: https://arxiv.org/pdf/2301.05601.pdf
w/ Nicolas Hubert, Armelle Brun, Davy Monticolo
#knowledgeGraph #neuroSymbolicAI #artificialIntelligence #machineLearning #linkPrediction