ytWinter

Papers-Graphs-with-Heterophily

A Survey of Learning from Graphs with Heterophily

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

RGAT

Changed from Yangkun's code

fc-gaga

GHRN

[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

GraphOOD

The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"

STGNN

The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network

MDC_KIS

Research code that accompanies the paper Improving Stock Trend Prediction with Multi-granularity Denoising Contrastive Learning

chinese-ner-pytorch

基于Pytorch框架的中文命名实体识别(NER)模型，包含lstm和Bert两种模型的实现

Awesome-Deep-Graph-Anomaly-Detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

ConsisRec

Code for paper "ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation"

CARE-GNN

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

graph-fraud-detection-papers

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

SASRec

SASRec: Self-Attentive Sequential Recommendation

st

roland

FRAUDRE_

Chinese-Reading-Notes-of-Graph-Learning

GraphSHA

"GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23

LSTM

基于LSTM的时间序列预测研究

LAGCN

Official Code of LAGCN

DGCNN

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

StrGNN

Code for structural temporal graph neural networks for anomaly detection in dynamic graphs

GNN-LSTM-based-Fusion-Model-for-Structural-Dynamic-Responses-Prediction

A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.

correlation_gcn_lstm_prediction

A stock prediction based on correlation adjencency matrix grapha and combinantion of gnn and lstm

zotero-pdf-translate

Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

CocoBill

:closed_book:一个轻量级的Android记账app（采用MVP模式开发，后台使用Bmob）