# Graf Makine Öğrenmesi

Canonical: https://manyspace.aporia.systems/tr/subjects/ai/graph-machine-learning-110
Updated: 2026-10-13

Graf Makine Öğrenmesi: yaklaşık 7 saat. Her konu önce neye ihtiyaç olduğunu ve neyi açtığını listeler.

## Graph Data

- [Graphs as Data](https://manyspace.aporia.systems/tr/topics/graphs-as-data-aiml-grl-001)
- [Node Embeddings](https://manyspace.aporia.systems/tr/topics/node-embeddings-aiml-grl-002)
- [Knowledge Graph Embeddings](https://manyspace.aporia.systems/tr/topics/knowledge-graph-embeddings-aiml-grl-007)

## Gnns

- [Message Passing and Graph Convolutional Networks](https://manyspace.aporia.systems/tr/topics/message-passing-and-graph-convolutional-networks-aiml-grl-003)
- [Graph Attention and Graph Transformers](https://manyspace.aporia.systems/tr/topics/graph-attention-and-graph-transformers-aiml-grl-004)
- [Graph Learning Tasks and Applications](https://manyspace.aporia.systems/tr/topics/graph-learning-tasks-and-applications-aiml-grl-005)
- [Expressivity and Oversmoothing in GNNs](https://manyspace.aporia.systems/tr/topics/expressivity-and-oversmoothing-in-gnns-aiml-grl-006)
