Top Tweets for #NodeClassification
๐ข #highlycited paper
๐ #XGBoost-Enhanced #GraphNeuralNetworks: A New Architecture for #HeterogeneousTabularData
๐ https://t.co/mqQSWwprK6
๐จโ๐ฌ by Liuxi Yan et al.
๐ซ Harbin University of Commerce
#nodeprediction #nodeclassification
๐ฅ Read our Highly Cited Paper
๐XGBoost-Enhanced #GraphNeuralNetworks: A New Architecture for Heterogeneous Tabular Dat
๐https://t.co/mqQSWwpZzE
๐จโ๐ฌbyย Liuxi Yanย and Yaoqun Xu
๐ซHarbin University of Commerce
#nodeprediction #nodeclassification
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
Many applications of #KnowledgeGraph #Embeddings, such as #RecommenderSystems or #NodeClassification, assume that similar entities are assigned close vectors. But is that assumption actually true? Read the full story in https://t.co/TxzHqJFB9J @dwsunima @nicolas_hubr
So glad to see #PyGraft featured in this week's issue of @dl_weekly! Check out our #Python library for generating synthetic schemas and #knowledgeGraphs and let us know how you use it!
#machineLearning #nodeClassification #linkPrediction #nodeClustering #neuroSymbolicAI
๐ค From this week's issue: An open-source Python library for generating synthetic yet realistic schemas and (KGs) based on user-specified parameters.
https://t.co/VLl7wRew0d
PyGraft will help you generate new and tailored benchmark #datasets useful in various fields and studies including but not limited to #neurosymbolicAI, #linkPrediction, #nodeClassification, #nodeClustering, #ontology repairing, pattern mining, reasoning, scalability studies, etc
๐ก Discover how to tackle fraud detection in the insurance industry with our artificial heterogeneous graph dataset! See how #NodeClassification can help identify fraudulent claims. #insurtech #memgraph #database #memgraphdb #graphdatabase https://t.co/SdxmmFPeWe
Graph contrastive learning https://t.co/h1fIDZbOKu #graph #NeuralNetworks #ML #AI #ContrastiveLearning #LinkPrediction #NodeClassification #Batch
(3/n) In addition to our standard #vessel graph, where bifurcations are nodes and vessels are edges, we provide an alternative representation of the vascular connectome as a linegraph, enabling the use of advanced #nodeclassification algorithms for vessel property prediction.
#mdpientropy "Active Learning for Node Classification: An Evaluation" https://t.co/r7Z2HXEa2M
#machinelearning
#graphneuralnetworks
#nodeclassification
#activelearning
We are at a crossroads where #Trump's own self interests will put officials in a predicament:
Follow orders or resign.
Is this Trump's plan? To force resignations?
Remember: Trump's actions ALWAYS are in only Trump's best interest.
#NoDeclassification
#TrumpRussia
"If the president overrides his professional staff and insists on unredacted declassification, it would force some officials, sworn to protect sources and methods of intelligence and law enforcement, to consider resignation."
https://t.co/PfUnVHGiZi
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