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Name: Crystal
Type: User
Name: Crystal
Type: User
This is the code related to the lab exercise in Python about MAC competitive protocols (ALOHA, CSMA).
Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)
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].
Official Tensorflow implementation of Self-Attention Generative Adversarial Capsule Networks
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
A curated list of network embedding techniques.
Core Architecture File for Balanced Semi-supervised GAN
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE TKDE 2023
Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
DataCon 9102: DNS Analysis, THU Team 1
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.
A PyTorch implementation of of E-GraphSAGE.
The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”
Multi-class classification with focal loss for imbalanced datasets
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
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.