Graph Fraud Detection Papers
safe-graph
A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
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1.9KGitHub
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Results · “graph-attention-networks”
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Results: 15
Gun
amark
An open source cybersecurity protocol for syncing decentralized graph data.
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19.1KGitHub
T81 558 Deep Learning
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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5.7KGitHub
Chemprop
chemprop
Message Passing Neural Networks for Molecule Property Prediction
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2.4KGitHub
Pykeen
pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
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2KGitHub
Snntorch
jeshraghian
Deep and online learning with spiking neural networks in Python
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2KGitHub
Pytorch
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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100.8KGitHub
Ludwig
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
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11.7KGitHub
Pyod
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…
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9.9KGitHub
Ignite
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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4.8KGitHub
Jetson Inference
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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8.9KGitHub
8.1KGitHub
Cnn Explainer
poloclub
Learning Convolutional Neural Networks with Interactive Visualization.
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9KGitHub
Chronos
Kodezi
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times bett…
4.9KGitHub
Bindsnet
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
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1.7KGitHub
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