fishman's repositories
ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
DA
Unsupervised Domain Adaptation Papers and Code
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
graphsage-simple
Simple reference implementation of GraphSAGE.
HITSZ-OpenCS
哈尔滨工业大学（深圳）计算机专业课程攻略 | Guidance for courses in Department of Computer Science, Harbin Institute of Technology (Shenzhen)
HKU-Thesis-Template
HKU Thesis Template
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
networkx
Official NetworkX source code repository.
pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointSetGeneration
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
tensorflow
An Open Source Machine Learning Framework for Everyone
wsdm22_cup_xmrec
WSDM 2022 CUP - Cross-Market Recommendation - Starter Kit