pcy1302

chameleon-llm

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

dl4math

Resources of deep learning for mathematical reasoning (DL4MATH).

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

GraFN

The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

AFGRL

The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

pytorch-template

PyTorch deep learning projects made easy.

DMGI

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

BGRL_Pytorch

Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

LocalAggregation-Pytorch

GCNmf

PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"

GCC

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

DeeperGNN

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

DA

Unsupervised Domain Adaptation Papers and Code

gans-awesome-applications

Curated list of awesome GAN applications and demo

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].

Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

multigraph_transformer

IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer for Free-Hand Sketch Recognition"

benchmarking-gnns

Repository for benchmarking graph neural networks

PRML

PRML algorithms implemented in Python

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

deepul

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

Mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]