Questions tagged [knowledge-graph]

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How can deep learning be applied to association rule mining?

Association rule mining is considered to be an old technique of AI. Rules are mined on statistical support. How can deep learning be applied to this? What are approaches for structured data (in a ...
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In Neo4j is it possible to Dynamically generate the graph given spacy to do the tokenization and attach POS of each word as a property to each node?

Suppose I have 2 sentences that I have created using the below code ...
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How to find union of nodes in rdflib knowledge graph

Little background on Work : I am working with ontologies and for my usecase I have to apply random walk on the ontology nodes/entities. In order to do the same I have written one function - that given ...
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How to unify weights in my dataset

I have a symptom-disease network that consists of four attributes: symptom, disease, co-occurrence and TF-IDF. I'm considering the TF-IDF attribute as the weight of my network edges and symptom and ...
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How to feed a Knowledge Base into Language Models?

I’m a CS undergrad trying to make my way into NLP Research. For some time, I have been wanting to incorporate "everyday commonsense reasoning" within the existing state-of-the-art Language ...
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Which knowledge source is bigger? Commonsense knowlege graph or Common knowlege Graph?

By Commonsense knowledge I mean a KB like ConceptNet vs. Encyclopedic KB like DBPedia. Which one has potentially more facts? I mean whether the facts of instances is more or facts about concepts in ...
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Expressing not-in-role in Fluent Editor 2015

I am experimenting with Fluent Editor, and I have trouble expressing something. If one creates the example project IT Infrastructure Advanced, in 7_Incidents.encnl there is this statement: ...
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Graph embeddings of Wikidata items

I'm trying to use PyTorch BigGraph pre-trained embeddings of Wikidata items for disambiguation. The problem is that the results I am getting by using dot (or cosine) similarity are not great. For ...
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(Graph Convolutional Network (GCN) based recommender system maintenance issue [closed]

I have built an item-item recommender model using (Graph Convolutional Network (GCN) for an E-commerce website. Could you please help me with the maintenance of the model. How often should I retrain ...
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Knowledge Graph as an input to a neural network

I want to create a neural network that takes as an input a knolwedge subgraph(different types of nodes and different types of edges) to predict some properties. For instance an input in the graph can ...
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2 votes
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How to use ontologies for text classification?

I am new to machine learning and want to classify sentences using ontologies (taxonomies/ knowledge graphs) and supervised learning methods (I have an annotated training dataset). My question is how ...
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What is the model architectural difference between transductive GCN and inductive GraphSAGE?

Difference of the model design. It seems the difference is that GraphSAGE sample the data. But what is the difference in model architecture.
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