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: https://getnews.me/quantum-walk-framework-qsearchnet-boosts-link-prediction/ #quantumwalk #linkprediction

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: https://getnews.me/aegis-boosts-link-prediction-in-sparse-bipartite-knowledge-graphs/ #aegis #linkprediction

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

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

Looking forward to feedback from the community!

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

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