GNN Insights | Sumble

What is GNN?

Graph Neural Networks (GNNs) are a class of neural networks designed for processing data represented as graphs. They learn node embeddings by aggregating information from a node's neighbors, allowing them to perform tasks such as node classification, link prediction, and graph classification. GNNs are commonly used in social network analysis, drug discovery, and recommender systems.

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What other technologies are related to GNN?

GNN Competitor Technologies

RNN

Recurrent Neural Networks (RNNs) are used for sequential data, whereas GNNs are designed for graph-structured data, offering an alternative approach for certain types of relational data.

mentioned alongside GNN in 5% (182) of relevant job posts

CNN

Convolutional Neural Networks (CNNs) are primarily used for image data, offering an alternative approach for structured data rather than graph data that GNNs are designed for.

mentioned alongside GNN in 4% (195) of relevant job posts

LSTM

Long Short-Term Memory networks (LSTMs) are a type of RNN used for sequential data, offering an alternative to GNNs when dealing with relational or structured data but the main relationship is temporal, not graph-based.

mentioned alongside GNN in 4% (145) of relevant job posts

Transformer

Transformers are used for sequential data or data where global relationships are important, providing an alternative approach to GNNs when graph structure isn't the primary focus.

mentioned alongside GNN in 4% (138) of relevant job posts

Transformers

Transformers can be used to process data with relationships, similar to GNNs, but are primarily used for sequential or relational data where global relationships are important and graph structure is not the primary focus. They offer an alternative approach.

mentioned alongside GNN in 0% (60) of relevant job posts

LLMs

Large Language Models, while distinct, can be used to infer relationships in data and perform tasks that might otherwise be approached with GNNs.

mentioned alongside GNN in 0% (86) of relevant job posts