Add GNNs to main README

README.md

@@ -80,6 +80,11 @@ These examples, along with our NVIDIA deep learning software stack, are provided
 | [FastSpeech](https://github.com/NVIDIA/DeepLearningExamples/tree/master/CUDA-Optimized/FastSpeech) | PyTorch  | -  | Yes  | Yes  | - | Yes | - | - | - | - |
 | [Tacotron 2 and WaveGlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2) | PyTorch  | Yes  | Yes  | Yes  | -  | Yes  |   Yes  | [Yes](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2/trtis_cpp)  | Yes  | - |
 
+## Graph Neural Networks
+| Models  | Framework | A100 | AMP | Multi-GPU | Multi-Node  | TRT  | ONNX  | Triton | DLC | NB | 
+| ------------- | ------------- | ------------- | ------------- | ------------- | ------------- |------------- |------------- |------------- |------------- |------------- |
+| [SE(3)-Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/DrugDiscovery/SE3Transformer) | PyTorch  | Yes  | Yes  | Yes  | - | - | - | - | - | - |
+
 
 ## NVIDIA support
 In each of the network READMEs, we indicate the level of support that will be provided. The range is from ongoing updates and improvements to a point-in-time release for thought leadership.