Pinned Repositories
AAAI21-GAug
Implementation for AAAI'21 paper: Data Augmentation for Graph Neural Networks
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Conference-code
CorrectAndSmooth
CTGCN
k-core based Temporal Graph Convolutional Network for Dynamic Graphs
CVPR2020-Hyperbolic_ZSL
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
daily-arxiv-noti
Daily arxiv notification with pre-defined keywords
dgl
graph learning based on dgl
GNNPapers
Must-read papers on graph neural networks (GNN)
marlin-github's Repositories
marlin-github/AAAI21-GAug
Implementation for AAAI'21 paper: Data Augmentation for Graph Neural Networks
marlin-github/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
marlin-github/CorrectAndSmooth
marlin-github/CTGCN
k-core based Temporal Graph Convolutional Network for Dynamic Graphs
marlin-github/daily-arxiv-noti
Daily arxiv notification with pre-defined keywords
marlin-github/dgl
graph learning based on dgl
marlin-github/Differentiable-Frechet-Mean
[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
marlin-github/DiGCN
Implement of DiGCN, NeurIPS-2020
marlin-github/distance-encoding
Distance Encoding for GNN Design
marlin-github/gcn
gcn code
marlin-github/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
marlin-github/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
marlin-github/GRAPE-Handling-Missing-Data
marlin-github/GraphSmote
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
marlin-github/GSNN
marlin-github/GXN
Graph Cross Network
marlin-github/hyperbolic_alignment
This repo contains a base implementation for aligning hyperbolic representations using an Optimal Transport-based approach.
marlin-github/ICLR-19-gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
marlin-github/KDD2020-AGE
Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
marlin-github/KDD2020-AM-GCN
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
marlin-github/marlin-codes.github.io
marlin-github/moco_align_uniform
MoCo with Alignment and Uniformity Loss.
marlin-github/NeurIPS20-GRAND
Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
marlin-github/opl
Orthogonal Projection Loss
marlin-github/Rethinking-pooling-in-GNNs
marlin-github/SEAL_OGB
An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.
marlin-github/SelfSAGCN
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network
marlin-github/sgc
Detailed parameter settings
marlin-github/StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
marlin-github/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)