Comments (2)
Hi! Yes. SEAL can be applied to directed graphs. When working on directed graphs, you should include both incoming and outgoing neighbors when extracting enclosing subgraphs.
I haven't compared with GNNs specifically for directed graphs. But you may check SEAL_OGB, which achieves state-of-the-art result on ogbl-citation2, a very large directed graph. Basically SEAL is a framework for link prediction where you can apply whatever GNN in it (including directed GNNs). You may check that implementation for how SEAL handles directed edges.
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Related Issues (20)
- System crash during subgraph extraction step HOT 2
- about the row_data and .mat files HOT 1
- about subgraph extraction HOT 1
- sampling negative links HOT 2
- 关于模型预测值 HOT 2
- Training on really large graphs HOT 2
- Questions about the contents in txt and mat files. HOT 4
- Error when trying to run my own datasets HOT 6
- Scores besides acc and auc HOT 3
- Command line argument for running facebook dataset HOT 2
- __init__() got an unexpected keyword argument 'size' HOT 1
- Access the nodes and edges from the subgraph HOT 2
- About node labeling HOT 1
- Bug during trying on a large graph HOT 1
- Node with same index HOT 4
- OSError: [Winerror 193] %1 is not an effective win32 application. HOT 2
- NameError: name 'cmd_args' is not defined
- TypeError: unsupported operand type(s) for +: 'NoneType' and 'NoneType' HOT 1
- How to understand learn automatically “heuristic”
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