add grin and bfgnn with docs

Author: Gang Liu

README.md

@@ -157,6 +157,8 @@ predictions = model.predict(smiles_list)
 
 | Model                | Reference           |
 |----------------------|---------------------|
+| GRIN                 | [Learning Repetition-Invariant Representations for Polymer Informatics. May 2025](https://arxiv.org/abs/2505.10726) |
+| BFGNN                 | [Graph neural networks extrapolate out-of-distribution for shortest paths. March 2025](https://arxiv.org/abs/2503.19173) |
 | SGIR                 | [Semi-Supervised Graph Imbalanced Regression. KDD 2023](https://dl.acm.org/doi/10.1145/3580305.3599497) |
 | GREA                | [Graph Rationalization with Environment-based Augmentations. KDD 2022](https://dl.acm.org/doi/abs/10.1145/3534678.3539347) |
 | DIR                  | [Discovering Invariant Rationales for Graph Neural Networks. ICLR 2022](https://arxiv.org/abs/2201.12872) |

docs/source/api/predictor.rst

@@ -43,7 +43,21 @@ Modeling Molecules as Graphs with Graph Neural Networks
    :undoc-members:
    :show-inheritance:
 
-.. rubric:: Discovering Invariant Rationales
+.. rubric:: Learning Repetition-Invariant Representations for Polymer Informatics
+.. autoclass:: torch_molecule.predictor.grin.modeling_grin.GRINMolecularPredictor
+   :exclude-members: fitting_epoch, fitting_loss, model_name, model_class
+   :members: fit, autofit, predict
+   :undoc-members:
+   :show-inheritance:
+
+.. rubric:: Graph neural networks extrapolate out-of-distribution for shortest paths
+.. autoclass:: torch_molecule.predictor.bfgnn.modeling_bfgnn.BFGNNMolecularPredictor
+   :exclude-members: fitting_epoch, fitting_loss, model_name, model_class
+   :members: fit, autofit, predict
+   :undoc-members:
+   :show-inheritance:
+
+.. rubric:: Discovering Invariant Rationales for Graph Neural Networks
 .. autoclass:: torch_molecule.predictor.dir.modeling_dir.DIRMolecularPredictor
    :exclude-members: fitting_epoch, fitting_loss, model_name, model_class
    :members: fit, autofit, predict