This is Graph Transformer method, proposed as a generalization of Transformer Neural Network architectures, for arbitrary graphs.
Compared to the original Transformer, the highlights of the presented architecture are:
Paper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Node Classification | 9 | 8.04% |
Graph Learning | 5 | 4.46% |
Graph Classification | 4 | 3.57% |
Graph Regression | 4 | 3.57% |
Link Prediction | 4 | 3.57% |
Graph Representation Learning | 4 | 3.57% |
Drug Discovery | 3 | 2.68% |
Knowledge Graphs | 3 | 2.68% |
Relation Extraction | 3 | 2.68% |