frsantosp
Ph.D student in Machine Learning @ Dminer Lab
Michigan State UniversityEast Lansing, Michigan
frsantosp's Stars
xiaolin-cs/BeMap
Balanced Message Passing for Fair Graph Neural Network
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Shen-Lab/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
senadkurtisi/pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
zhengwang100/dgpn
Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.
CRIPAC-DIG/GRACE
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
SauravMaheshkar/hivegraph
🐍🧑🏼💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
Xtra-Computing/Awesome-Literature-ILoGs
Awesome literature on imbalanced learning on graphs
kaize0409/awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
amunn/msu-thesis
Thesis Class for Michigan State University
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
ChenNed/Awesome-DL-Information-Cascades-Modeling
MrYansong/CCasGNN
A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.