The official implementation of DiG-In-GNN (AAAI 2024)

How Powerful are Spectral Graph Neural Networks

[WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.

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

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

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

Fighting against Organized Fraudsters using Risk Diffusion-based Parallel Graph Neural Network

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

SignNet and BasisNet

Transformer-based Spectral Graph Neural Networks

"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

Code for SGDD

Markov-Driven Graph Convolutional Networksfor Social Spammer Detection

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)

[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models

A Deep Graph-based Toolbox for Fraud Detection