mgao97 Goto Github PK

easygraph_benchmark_20230501

benchmark results

egnn

Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.

fate

Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"

fduthesis

LaTeX thesis template for Fudan University

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

feature-engineering-made-easy

Feature Engineering Made Easy, published by Packt

federatedscope

An easy-to-use federated learning platform

fedlab

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

finml

Financial Machine Learning

gadbench

gaga

Fraud Detection, Low Homophily, Label Utilization, Graph Mining

game-on

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gaug

AAAI'21: Data Augmentation for Graph Neural Networks

gdaug-survey

Data Augmentation on Graphs: A Technical Survey

gdc

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

generative-diffusion-models-on-graphs

gennius

GeNNius: An ultrafast drug-target interaction inference method based on graph neural networks

gradate

An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graph_data_augmentation

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphdataaug

graphdataset

graphemb

graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

group_paper_reading

hgnn

Hypergraph Neural Networks (AAAI 2019)

higher-order-network