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100-days-of-ml-code

100 Days of ML Coding

100days-ml-code

100天机器学习 （翻译+ 实操）

3dstylegan

3D StyleGAN2 for Medical Images

a-directed-graph-fourier-transform-with-spread-frequency-components

adversarial-network-embedding

Graph representation learning via GAN

aegcn

AEGCN: An Autoencoder-Constrained Graph Convolutional Network

anonymous_10696

ans-gt

Pytorch implementation of NeurIPS'22 paper "Hierarchical Graph Transformer with Adaptive Node Sampling"

aproximated_ged

Bunch of aproximated graph edit distance algorithms.

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].

artificiallyr2r

Repository for AAAI 2024 paper "From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery"

as-vit

Adaptive Sparse ViT

asine

This repository provides a reference implementation of ASiNE: Adversarial Signed Network Embedding (SIGIR 2020).

attention_in_graph

attention mechanism for graph classification, significant sub-graph mining, graph disstillation

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-model-merging

:couple: A curated list of Model Merging methods.

awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

awesome-semi-supervised-learning-1

:scroll: A curated list of awesome semi-supervised learning methods & papers.

basic-knowledge-of-computer-science

跨专业补计算机基础知识(Physics --> Computer science)

bernnet

PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

beside

(BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding

bine

BiNE: Bipartite Network Embedding

bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

braingnn_pytorch

A preliminary implementation of BrainGNN

cgipool

cgp

Code for TNNLS paper: "Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks"

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cogdl

CogDL: An Extensive Research Toolkit for Graphs

complex-network

复杂网络研究资源整理和基础知识学习