Questions tagged [knowledge-graph]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
11 views

Is there any inductive Graph Variational Auto Encoder?

I have been reading about how we can model a Variational AutoEncoder (VAE) into a Graph Variational AutoEncoder (GVAE) where the decoder reconstructs the adjacency matrix. I presume that this approach ...
2
votes
1answer
38 views

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 ...
0
votes
0answers
9 views

Optimal graph search algorithm for probabilistic world

Greeting, i have the following world: ~500-600 states ~4-5 action per state. 4 of the states of a coin on them. Some action are probabilistic (for example "Jump from A to B,C" , has 20% of ending ...
2
votes
1answer
43 views

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 ...
1
vote
1answer
35 views

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.