Description:
I am experiencing an issue where the process is unexpectedly killed while benchmarking several graph anomaly detection methods from PyGOD: "dominant," "done," "adone," "anomalydae," and "conad," on the dataset "inj_flickr."
The problem persists even with minimal settings that are much smaller than those used in related works (e.g., the BOND paper, page 20). Despite running on a system with a 12GB NVIDIA A2000 GPU, the process fails to complete.
Settings:
Below are the configurations I used:
num_layers: 1
batch_size: 1
num_neigh: 1
epoch: 1
hid_dim: [2]
System Information:
OS: Linux
Python version: 3.12.4
CUDA version: 12
PyGOD version: 1.1.0
PyTorch version: 2.4.0+cu124
GPU: NVIDIA RTX A2000 (12GB)
Additional Context:
GCNAE runs successfully with BOND settings on the same dataset and system.
Description:
I am experiencing an issue where the process is unexpectedly killed while benchmarking several graph anomaly detection methods from PyGOD: "dominant," "done," "adone," "anomalydae," and "conad," on the dataset "inj_flickr."
The problem persists even with minimal settings that are much smaller than those used in related works (e.g., the BOND paper, page 20). Despite running on a system with a 12GB NVIDIA A2000 GPU, the process fails to complete.
Settings:
Below are the configurations I used:
num_layers
: 1batch_size
: 1num_neigh
: 1epoch
: 1hid_dim
: [2]System Information:
Additional Context:
GCNAE runs successfully with BOND settings on the same dataset and system.