liuchuang0059 Goto Github PK
Name: hiver comme été
Type: User
Bio: blo
Name: hiver comme été
Type: User
Bio: blo
100 Days of ML Coding
100天机器学习 (翻译+ 实操)
3D StyleGAN2 for Medical Images
Graph representation learning via GAN
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
Pytorch implementation of NeurIPS'22 paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
Bunch of aproximated graph edit distance algorithms.
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].
Repository for AAAI 2024 paper "From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery"
Adaptive Sparse ViT
This repository provides a reference implementation of ASiNE: Adversarial Signed Network Embedding (SIGIR 2020).
attention mechanism for graph classification, significant sub-graph mining, graph disstillation
Efficient Graph Neural Networks - a curated list of papers and projects
A collection of important graph embedding, classification and representation learning papers with implementations.
:couple: A curated list of Model Merging methods.
💿 Free software that works great, and also happens to be open-source Python.
:scroll: A curated list of awesome semi-supervised learning methods & papers.
跨专业补计算机基础知识(Physics --> Computer science)
PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
(BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding
BiNE: Bipartite Network Embedding
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
A preliminary implementation of BrainGNN
Code for TNNLS paper: "Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks"
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
CogDL: An Extensive Research Toolkit for Graphs
复杂网络研究资源整理和基础知识学习
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.