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Doesn’t benchmark’s main.py support the implementation of CoLA and RADAR methods?

1

uuice11

I tried using DOMINANT for anomaly detection on a custom dataset. This dataset consists of undirected graphs, each with one node feature and one edge feature. The graphs range from...

Naotake-Ishikura

Can I use this library for my model building?

1

Hello everyone! I noticed that the source code (in `pygod.detector`) of this library for building benchmark models has a certain degree of commonality. For example, the benchmark models all inherit...

Lqyrmk

The error occurred while using the GADNR model: MessagePassing.init() got an unexpected keyword argument 'tot_nodes'

6

> I met the problem on Linux with pygod 1.1.0 version, here's my code: > ``` > from torch_geometric.data import Data > from pygod.detector import GADNR > > feature =...

Taotiee

Mini-batch loading doesn't prevent memory allocation errors in DOMINANT

1

**Describe the bug** A clear and concise description of what the bug is. **To Reproduce** Steps to reproduce the behavior: ``` from pygod.detector import DOMINANT from torch_geometric.datasets import EllipticBitcoinDataset dataset...

joshred83

Follow the instructions of detector example, which step went wrong?

3

I`m pretty sure the dataset was downloaded correctlyly ``` from pygod.utils import load_data data = load_data(name="inj_cora", cache_dir='/home/zwl/code/Wild-GAD/datasets/text_data/pre/self/inj_cora') data.y = data.y.bool() print(data) from pygod.detector import DOMINANT detector = DOMINANT(hid_dim=64, num_layers=4, epoch=100)...

andwizard

[Feature] Is there any plan to support dynamic graph anomaly detection models?

2

Hi PyGOD team, First of all, thank you for the fantastic work you’ve done with PyGOD! It’s an incredibly valuable resource for anomaly detection in graph data, and I truly...

Postroggy

**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...

gbay7

Inconsistent prediction: pred in logger vs pred from .predict function

2

I have got a GAE model trained with data pyg_graph_train. Then, I use pyg_graph_test for model prediction. I tried this: `pred, score = model.predict( pyg_graph_test, label = pyg_graph_test.label, return_score=True )`...

chpoonag