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[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
[WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"
Code for "Reinforced, Incremental and Cross-lingual Event Detection From Social Messages"
AAAI'21: Data Augmentation for Graph Neural Networks
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
A Deep Graph-based Toolbox for Fraud Detection
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…