I found that I can use the random model to divide the graph, but when using Metis, the code will terminate abnormally. I want to ask what causes this. I change "IDXTYPEWIDTH = os.getenv('METIS_IDXTYPEWIDTH', '32')" in metis.py (line 31) to "IDXTYPEWIDTH = os.getenv('METIS_IDXTYPEWIDTH', '64')", but it doesn't work!!!
I found that I can use the random model to divide the graph, but when using Metis, the code will terminate abnormally. I want to ask what causes this. I change "IDXTYPEWIDTH = os.getenv('METIS_IDXTYPEWIDTH', '32')" in metis.py (line 31) to "IDXTYPEWIDTH = os.getenv('METIS_IDXTYPEWIDTH', '64')", but it doesn't work!!!
python src/main.py +-------------------+----------------------+ | Parameter | Value | +===================+======================+ | Cluster number | 10 | +-------------------+----------------------+ | Clustering method | metis | +-------------------+----------------------+ | Dropout | 0.500 | +-------------------+----------------------+ | Edge path | ./input/edges.csv | +-------------------+----------------------+ | Epochs | 200 | +-------------------+----------------------+ | Features path | ./input/features.csv | +-------------------+----------------------+ | Layers | [16, 16, 16] | +-------------------+----------------------+ | Learning rate | 0.010 | +-------------------+----------------------+ | Seed | 42 | +-------------------+----------------------+ | Target path | ./input/target.csv | +-------------------+----------------------+ | Test ratio | 0.900 | +-------------------+----------------------+
Metis graph clustering started.
Segmentation fault (core dumped)