wangejie Goto Github PK
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Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection" published in Machine Learning Journal
This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlab
Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)
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].
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
A comprehensive list of awesome contrastive self-supervised learning papers.
Papers about developing deep Graph Neural Networks (GNNs)
Awesome Graph Self-Supervised Learning
Awesome Knowledge Distillation
A curated list of network embedding techniques.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A curated list of awesome self-supervised methods
A curated list for awesome self-supervised learning for graphs.
Semi-Supervised Text/Document Classification using Complementary NaiveBayes
Semi-Supervised Learning with Limited Data
Statistical Learning Theory (CS229T) Lecture Notes
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org
Solutions of assignments and translation to Chinese
Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
Edge-Conditioned Convolutions on Graphs
Semi-supervised text classification using EM NaiveBayesian Classifier
Library for fast text representation and classification.
this is my first porject
Implementation of Graph Auto-Encoders in TensorFlow
Graph Auto-Encoder in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.