learning GNNs
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Updated
Jul 7, 2019 - Python
learning GNNs
Video Object Segmentation using Graph Neural Networks
Simple task for mixed image-graph data
Graph Neural Networks for Jet Identification using Deep Graph Library and Pytorch Geometric
Siamese Neural Network Architecture for Graph Alignment
8th place solution to https://www.automl.ai/competitions/3
PyTorch Geometric point cloud representation for vtk 3D objects
Graph Neural networks for NLP
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
PyTorch Geometric Docset for Dash/Zeal
The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
3D object classification simple demo
This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.
Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).
Code for Graph Representation of 3D CAD models for Machining Feature Recognition with Deep Learning paper on deep learning from planar B-Rep CAD models.
Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
Point cloud classification demo in BinderHub
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
Multi-Modal Attention-based Hierarchical Graph Neural Network for Object Interaction Recommendation in Internet of Things (IoT)
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