WangeJie

WangeJie

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WangeJie's repositories

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

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awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

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solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

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awesome-graph-self-supervised-learning

Awesome Graph Self-Supervised Learning

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Schedule

Schedule for learning on graphs seminar

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awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

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awesome-deep-gnn

Papers about developing deep Graph Neural Networks (GNNs)

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google-research

Google AI Research

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gae

Implementation of Graph Auto-Encoders in TensorFlow

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GATE

Graph Attention Auto-Encoders

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gae_in_pytorch

Graph Auto-Encoder in PyTorch

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k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

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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)

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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

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awesome-network-embedding

A curated list of network embedding techniques.

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GSSNN

The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".

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icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

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deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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RWR-GAE

Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"

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wDAE_GNN_FewShot

Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning

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mvGAE

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

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see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

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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.

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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].

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fastText

Library for fast text representation and classification.

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cs229t

Statistical Learning Theory (CS229T) Lecture Notes

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