Git Product home page Git Product logo

Qitian Wu's Projects

canet icon canet

Code for WWW2024 Oral paper "Graph Out-of-Distribution Generalization via Causal Intervention”.

difformer icon difformer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

dir-gnn icon dir-gnn

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fate icon fate

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

graphood-eerm icon graphood-eerm

The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

graphood-gnnsafe icon graphood-gnnsafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

idcf icon idcf

Codes and datasets for ICML21 paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

lantern-neurips-2019 icon lantern-neurips-2019

Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""

mgcnn icon mgcnn

Multi-Graph Convolutional Neural Networks

mt-dnn icon mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

nodeformer icon nodeformer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

pixel-cnn icon pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

safedrug icon safedrug

Processing files and Code for IJCAI'21 Paper: SafeDrug

sgformer icon sgformer

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.