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Posts tagged #LinkPrediction

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🧩🔀Comparing the power of phylogenetic, trait and network structure information to predict plant–frugivore interactions

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#Frugivory #LinkPrediction #Mutualism #MutualisticNetwork #SeedDispersal

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Quantum Walk Framework QSearchNet Boosts Link Prediction

Quantum Walk Framework QSearchNet Boosts Link Prediction

QSearchNet uses quantum walks with Grover-style amplification to improve link prediction on samples, matching graph neural networks on social, citation and biological datasets. Read more: getnews.me/quantum-walk-framework-q... #quantumwalk #linkprediction

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AEGIS Boosts Link Prediction in Sparse Bipartite Knowledge Graphs

AEGIS Boosts Link Prediction in Sparse Bipartite Knowledge Graphs

AEGIS improves link prediction on bipartite graphs by resampling edges with uniform or degree‑aware sampling, showing gains on Amazon review and MovieLens datasets. Read more: getnews.me/aegis-boosts-link-predic... #aegis #linkprediction

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Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
2024.eswc-conferences.org/wp-content/u...

#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding

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PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips 2024.eswc-conferences.org/wp-content/u...

#knowledgeGraph #syntheticData #neuroSymbolicAI #ArtificialIntelligence #semanticWeb #linkPrediction #graphEmbedding

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Looking forward to feedback from the community!

#knowledgeGraph #semanticWeb #machineLearning #linkPrediction #neurosymbolicAI #artificialIntelligence #linkedOpenData #graphEmbeddings #embeddings #graphNeuralNetworks

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PyGraft 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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