# Advanced Graph Neural Networks

{
  "id": "T11273",
  "title": "Advanced Graph Neural Networks",
  "url": "/topics/T11273",
  "kind": "topic-directory",
  "aeo_cohort": "topic-directory",
  "provider": "openalex",
  "revision": "a3c8e3a5b330c1ad",
  "catalogue_revision": "f050b5d4780b1289",
  "numeric_address": "36183004602860635",
  "address_version": "morton4x16-v1",
  "coordinates": [
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    17,
    1702,
    11273
  ],
  "answer_status": "Directory metadata; local answer requires separate source review",
  "truth_status": "Subject descriptor, not a factual answer or a demonstrated knowledge gap"
}

This cluster of papers focuses on the development, applications, and techniques related to Graph Neural Networks (GNNs) and their variants. It covers topics such as knowledge graph embedding, representation learning, network embedding, deep learning, graph convolutional networks, heterogeneous networks, relational data modeling, signal processing on graphs, and semi-supervised learning.

Directory metadata is not a factual answer or evidence of a global knowledge gap.

Source: https://openalex.org/T11273

No owner-reviewed local answer yet.