qitianwu Goto Github PK
Name: Qitian Wu
Type: User
Bio: CS PhD@Shanghai Jiao Tong University
Location: Shanghai, China
Name: Qitian Wu
Type: User
Bio: CS PhD@Shanghai Jiao Tong University
Location: Shanghai, China
Papers about out-of-distribution generalization on graphs.
Papers about graph transformers.
Code for WWW2024 Oral paper "Graph Out-of-Distribution Generalization via Causal Intervention”.
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (2022 ICLR)
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”
A curated list of fraud detection papers using graph information or graph neural networks
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"
Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""
Multi-Graph Convolutional Neural Networks
Multi-Task Deep Neural Networks for Natural Language Understanding
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
A Collection of Variational Autoencoders (VAE) in PyTorch.
Config files for my GitHub profile.
Processing files and Code for IJCAI'21 Paper: SafeDrug
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
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.