gnns
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This classifier achieved the following results, "Percent humans misclassified as dogs is 1%. and "Percent of dogs correctly classified is 100%" It is very reliable when it comes to classification of dog breeds.
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Dec 14, 2018 - HTML
3D Graph Neural Networks for RGBD Semantic Segmentation
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Mar 16, 2019 - Python
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
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May 14, 2019 - Python
A weekly list of interesting reads related to deep learning found by our group members!
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Jan 19, 2020
Trying to apply Deep RL + Geometric DL to graphs exploration
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Apr 18, 2020 - Jupyter Notebook
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
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Jun 2, 2020 - Python
GNNs in Recommendation Systems
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Jun 10, 2020
A Note On Over-Smoothing for Graph Neural Network
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Jun 29, 2020 - Python
3D Face Classification with Graph Neural Networks
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Dec 14, 2020 - Python
cloud-based, large-scale ST-GCN with OpenStreetMap features
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Jan 18, 2021 - Jupyter Notebook
Temporal Graph Neural Networks for Epidemiological Forecasting - project for COSC 525: Deep Learning.
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May 7, 2021 - Jupyter Notebook
Collection of GNN architectures for 3D shapes and graphs using NN Template
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May 23, 2021 - Python
Brain graph super-resolution using graph neural networks.
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Jul 13, 2021 - Python
Bags of Tricks in OGB (node classification) with GCNs.
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Aug 11, 2021 - Python
Federated multigraph integration with application to connectional brain template estimation.
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Dec 28, 2021 - Python
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