Add QM9 dataset + QM9 custom dataset with chemical rings encoded as tensors

configs/dataset/graph/QM9.yaml

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+# Dataset loader config
+loader:
+  _target_: topobenchmark.data.loaders.MoleculeDatasetLoader2
+  parameters: 
+    data_domain: graph
+    data_type: QM9
+    data_name: QM9
+    data_dir: ${paths.data_dir}/${dataset.loader.parameters.data_domain}/${dataset.loader.parameters.data_type}
+
+# Dataset parameters
+parameters:
+  num_features: 11
+  num_classes: 19
+  task: regression 
+  loss_type: mse
+  monitor_metric: mae
+  task_level: graph
+  # Lifting parameters
+  max_dim_if_lifted: 3 # This is the maximum dimension of the simplicial complex in the dataset
+  preserve_edge_attr_if_lifted: True
+
+#splits
+split_params:
+  learning_setting: inductive
+  data_split_dir: ${paths.data_dir}/data_splits/${dataset.loader.parameters.data_name}
+  data_seed: 0
+  split_type: random #'k-fold' # either "k-fold" or "random" strategies
+  k: 10 # for "k-fold" Cross-Validation
+  train_prop: 0.5 # for "random" strategy splitting
+
+# Dataloader parameters
+dataloader_params:
+  batch_size: 32
+  num_workers: 0
+  pin_memory: False

configs/transforms/data_manipulations/keep_selected_target_indices.yaml

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+_target_: topobenchmark.transforms.data_transform.DataTransform
+transform_name: "KeepSelectedTargetIndices"
+transform_type: "data manipulation"
+target_indices: [0]