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aloha-course

This is the code related to the lab exercise in Python about MAC competitive protocols (ALOHA, CSMA).

alp-baselines

Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)

arga

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].

attention-aware-capsule-gan

Official Tensorflow implementation of Self-Attention Generative Adversarial Capsule Networks

awesome-imbalanced-learning

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

awesome-network-embedding

A curated list of network embedding techniques.

bss_gan

Core Architecture File for Balanced Semi-supervised GAN

c-graphsage

cadet

Cadence Detection in Symbolic Classical Music using Graph Neural Networks

caps2ne

A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)

cdcgan

cfad

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE TKDE 2023

cigan

ckd

Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

clusternet

Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"

cm-gcl

Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”

cmo

datacon-9102-dns

DataCon 9102: DNS Analysis, THU Team 1

deep-learning-with-tensorflow-book

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.

dgpn

Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.

drgcn

e-graphsage

A PyTorch implementation of of E-GraphSAGE.

e-resgat

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

ea-gnn

fate

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

focal_loss_keras

Multi-class classification with focal loss for imbalanced datasets

gaen

ganbalanced

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)