jiaqingxie Goto Github PK
Name: Jiaqing Xie
Type: User
Company: ETH Zürich
Bio: MSCS @ ETH Zurich; Research Intern @ Emory
Twitter: jiaqing_xie
Location: Zürich, Switzerland
Name: Jiaqing Xie
Type: User
Company: ETH Zürich
Bio: MSCS @ ETH Zurich; Research Intern @ Emory
Twitter: jiaqing_xie
Location: Zürich, Switzerland
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ETHZ Applications of Deep Learning on Graphs
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Papers about graph transformers.
Awesome Protein Representation Learning
Implementation for the paper "CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs"
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Deep Patch Visual Odometry
ETH Zurich 363-0503-00L Principles of Microeconomics
Code for the paper Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks (ECML-PKDD GEM 2021)
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
Pytorch-Implementation of Graph Normalizing Flows
Unofficial Implentation of Graph Normalizing Flows in Pytorch
Recipe for a General, Powerful, Scalable Graph Transformer
Code for the paper: Graph Structure Learning via Lottery Hypothesis at Scale
ETH Guarantees for Machine Learning
ETH Zurich Information Security Lab HS2022
An Integration Study of Language Models and Message Passing Networks on Quantum Chemistry
MIT Summer Research. Supervised by Manolis kellis
codes for paper: What Dense Graph do You Need for Self-attention?
PAI Projects @ ETHZ
Pytorch implementation of NetVlad including training on Pittsburgh.
Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm
The codebase used to generate the reults in the ICLR 2023 paper "Revisiting Robustness in Graph Machine Learning".
Implementation and Optimization for Social Force Model for Pedestrian Dynamics
Statistical Learning Theory @ ETH Zurich
A List of Papers on Theoretical Foundations of Graph Neural Networks
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.