Adding workable example and mantra dataset to the pyproject dependenc…

…ies.

code/datasets/simplicial_ds.py

@@ -8,7 +8,7 @@
 from sklearn.model_selection import train_test_split
 from typing import Dict, List, Literal, Tuple, Optional
 from torch_geometric.transforms import Compose
-from mantra.simplicial import SimplicialDataset
+from mantra.datasets import ManifoldTriangulations
 from torch_geometric.data import InMemoryDataset
 import os
 
@@ -56,7 +56,7 @@ def __init__(
         self.task_type = task_type
         self.split = mode
         self.split_config = SplitConfig(split, seed, use_stratified)
-        self.raw_simplicial_ds = SimplicialDataset(
+        self.raw_simplicial_ds = ManifoldTriangulations(
             os.path.join(root, "raw_simplicial"),
             manifold,
             version,

code/run.py

@@ -30,7 +30,7 @@
 
 # model
 model_config = CellMPConfig(
-    num_input_features=1,
+    num_input_features=8,
     num_classes=3,
 )
 transform_type = TransformType.degree_transform_sc
@@ -49,15 +49,15 @@
 config = ConfigExperimentRun(
     seed=10,
     ds_type=DatasetType.FULL_2D,
-    transforms=TransformType.degree_transform_sc,
+    transforms=TransformType.random_simplices_features,
     use_stratified=True,
     task_type=TaskType.BETTI_NUMBERS,
     trainer_config=trainer_config,
     conf_model=model_config,
 )
 
 # data and logging
-data_dir = "/data"
+data_dir = "./data"
 use_logger = False
 devices = [0]
 run_id = str(uuid.uuid4())

pyproject.toml

@@ -37,6 +37,7 @@ omegaconf = "2.3.0"
 pydantic-settings = "2.2.1"
 tabulate = "0.9.0"
 ogb = "1.3.6"
+mantra-dataset = "0.0.6"
 
 [tool.poetry.dev-dependencies]
 black = {version = "^21.12b0", allow-prereleases = true}