Pinned Repositories
awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
Draw-Paper-Plot-Using-Seaborn
some examples for drawing illustration plots for paper using seaborn package
GFAttack
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
IGNN
Implicit Graph Neural Networks
LFR
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
SpGAT
Spectral Graph Attention Network with Fast Eigen-approximation
SwiftieH's Repositories
SwiftieH/IGNN
Implicit Graph Neural Networks
SwiftieH/GFAttack
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
SwiftieH/LFR
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
SwiftieH/SpGAT
Spectral Graph Attention Network with Fast Eigen-approximation
SwiftieH/awesome-graph-embedding
A collection of important graph embedding, classification and representation learning papers with implementations.
SwiftieH/Draw-Paper-Plot-Using-Seaborn
some examples for drawing illustration plots for paper using seaborn package
SwiftieH/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
SwiftieH/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
SwiftieH/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
SwiftieH/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
SwiftieH/tensorflow
Computation using data flow graphs for scalable machine learning
SwiftieH/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
SwiftieH/UFS2
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach
SwiftieH/vimrc
The ultimate Vim configuration: vimrc