YJYTJ

YJYTJ

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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Improving-Subgraph-Recognition-with-Variation-Graph-Information-Bottleneck-VGIB-

graph neural networks, information theory, AI for Sciences

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PAGE

Implementation of "PAGE: Prototype-based model-level explanations for graph neural networks".

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graph-attribution

Codebase for Evaluating Attribution for Graph Neural Networks.

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NeuralTangentKernel-Papers

Neural Tangent Kernel Papers

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ICNN

A pytorch implementation of interpretable convolutional neural network.

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Awesome-Hyperbolic-Representation-and-Deep-Learning

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

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ete-dendrogram-purity

implement dengram purity for ete.Tree structure

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gnn_hierarchical_pooling

Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".

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GBK-GNN

Code for GBK-GNN (paper accepted by WWW2022)

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GNNPapers

Must-read papers on graph neural networks (GNN)

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Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

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TensorFlow_Tutorial

TensorFlow1.x版本教程(入门教程)

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graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

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SimP-GCN

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

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NeurIPS2020-SCG

The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)

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SPAGAN

PyTorch Implement for Path Attention Graph Network

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snea

Learning Signed Network Embedding via Graph Attention, aaai2020

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Kugle-MATLAB

Main repository for the Kugle robot project. The repository contains the MATLAB code and Simulink models for the Kugle robot developed as part of the master thesis work. This includes a non-linear Quaternion ballbot model, Sliding mode attitude controller, Quaternion Extended Kalman filter and ACADO MPC for path-following.

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Autonomous-Drive

Autonomous Vehicle modelling using MATLAB and Simulink

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faster-rcnn-KITTI-BDD100K

Faster R-CNN with KITTI, BDD100k support in PyTorch 1.0

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yolov5_annotations

annotations of yolov5-5.0

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k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

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pytorch_DGCNN

PyTorch implementation of DGCNN

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