Giter Site home page Giter Site logo

graph-deep-learning's Introduction

graph-deep-learning

This page summarises the open source code of our group, mostly on graph learning & deep learning. More source code will be released as it is ready for publishing. You can visit your GRAND Lab page on Github for more details.

Graph Learning & Deep Learning

  • Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning (IJCAI 2021)

  • Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning (AAAI 2021)

  • ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning (CIKM 2021)

  • Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (TNNLS 2021)

  • Open-World Graph Learning (ICDM 2020)

  • One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (TPAMI 2020)

  • Graph Stochastic Neural Networks for Semi-supervised Learning (NeurIPS 2020)

  • Graph Geometry Interaction Learning (NeurIPS 2020)

  • Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement (NeurIPS 2020)

  • Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (KDD 2020)

  • Overcoming Multi-Model Forgetting in One-Shot NAS with Diversity Maximization (CVPR 2020)

  • Unsupervised Domain Adaptive Graph Convolutional Networks (WWW 2020)

  • GSSNN: Graph Smoothing Splines Neural Network (AAAI 2020)

  • Reinforcement Learning based Meta-path Discovery in Large-scale Heterogeneous Information Networks (AAAI 2020)

  • Relation Structure-Aware Heterogeneous Graph Neural Network (ICDM 2019)

  • Graph WaveNet for Deep Spatial-Temporal Graph Modeling (IJCAI 2019)

  • Adversarially regularized graph autoencoder for graph embedding (IJCAI 2018)

  • Binarized attributed network embedding (ICDM 2018)

  • MGAE: marginalized graph autoencoder for graph clustering (CIKM 2017)

  • Tri-party deep network representation (IJCAI 2016)

graph-deep-learning's People

Contributors

shiruipan avatar kimmeen avatar yixinliu233 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.