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
8th place solution to https://www.automl.ai/competitions/3
PyTorch Geometric point cloud representation for vtk 3D objects
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 of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
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)
Deep Learning Projects using Graph Neural Networks (GNNs).
Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
Complete surface texture on partially textured 3D meshes using graph neural networks.
Reproduction of the paper "Inductive Representation Learning on Large Graphs"
A utility script to install PyTorch Geometric with its dependencies, using the pre-built binaries.
Implementation of Graph Neural Network-based 3D Point Cloud Classification in PyTorch
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
Topological Graph Neural Networks (ICLR 2022)
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