WangeJie's repositories
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
awesome-graph-self-supervised-learning
Awesome Graph Self-Supervised Learning
Schedule
Schedule for learning on graphs seminar
awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
google-research
Google AI Research
gae
Implementation of Graph Auto-Encoders in TensorFlow
GATE
Graph Attention Auto-Encoders
gae_in_pytorch
Graph Auto-Encoder in PyTorch
k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
linear_graph_autoencoders
Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)
gravity_graph_autoencoders
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
awesome-network-embedding
A curated list of network embedding techniques.
GSSNN
The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
icml18-jtnn
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org
gcn
Implementation of Graph Convolutional Networks in TensorFlow
RWR-GAE
Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
wDAE_GNN_FewShot
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
mvGAE
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
see
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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].
fastText
Library for fast text representation and classification.
cs229t
Statistical Learning Theory (CS229T) Lecture Notes