Data Science Stack Exchange
Data Science Stack Exchange

Questions tagged [knowledge-graph]

21 questions
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1 answer

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 example, the similarity between the Python…
david brick
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1 answer

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 be : :Mike :likes :chocolate; :studies…
anascmidt
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1 answer

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 to use the ontology for this task? Is the…
RFAI
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2
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1 answer

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 Models; i.e. to make their generated output more reasonable…
Shivam Arya Jha
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(Graph Convolutional Network (GCN) based recommender system maintenance issue

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 the model after deployment?( 1 month, 2…
Avinash
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2 answers

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.
DunkOnly
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A French version of Rebel

Is there an end-to-end trained transformer like Rebel for french data? Rebel can extract entities and relations from text, yet as far as I know, it works only with english texts. Is there any other alternatives for french data? I am working in…
Eshrak
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Ontology-based knowledge graph construction from free-text

TL;DR What is the best way to extract SPO triples from free-text with as little information loss as possible under the constraint that the nodes and relationships in the extracted triples are contained in a given ontology? Details I am trying to…
scicos88
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2 answers

Exemplify key differences between entity linking and entity matching?

It seems to me that entity linking and entity matching are very similar. Entity linking is also named named entity disambiguation; while entity matching is also called record linkage or deduplication, and sometimes entity resolution. From their…
Lerner Zhang
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LSTM Feature engineering: using different Knowledge Graph data types

For a research project, I'm planning to use an LSTM to learn from sequences of KG entities. However, I have little experience using LSTMs or RNNs in general. During planning, a few questions concerning feature engineering have come up. Let me give…
acxcv
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getting actual concepts value instead of its URI in ontology

I am using owl ontology for semantic analysis in emotional sentiment analysis project , I am trying to navigate the ontology to check a concepts and its relation , my ontology has classes like this :