TGN: Temporal Graph Networks

This is a geographic parsing library. Beyond regular parsing to mapquest, bing, and google apis, it also can parse subject strings and query against TGN or Geonames.

The Getty Thesaurus of Geographic Names (TGN). As GeoJSON.

Lua codebase adding 100+ features to the online, multiplayer game Natural Selection 2. Some code in this repository interacts with code in the TGNS-Backend repository.

NeurIPS 2026 - Multi-Network Training for Transfer Learning on Temporal Graphs

TF-TGN

CS-TGN: Community Search via Temporal Graph Neural Networks

Various tools to make working with the TGN linked open data dumps less painful.

TGN for anomaly detection in DGraph-Fin dataset. (Top2 🥈 solution in DGraph-Fin Leaderboard) https://dgraph.xinye.com/

Script for generating Pleiades/TGN alignment

This repository contains a PyTorch implementation of the paper TGN-ST model (Accepted to https://techno-srj.itc.edu.kh/ and will be appeared in next volume 2025).

TGN is a POC for a home security system to work as an early warning in case of perimeter invasion and should work with any IP cameras on the market.

DGL's TGN implement.

Mostly C# codebase (ASP.NET MVC, HTTP Endpoints, and Windows Forms) supporting feature additions to the online multiplayer game Natural Selection 2. Some code in this repository is referenced from code in the TGNS repository. Oh... and one Chrome extension.

TGN Hitman Gamemode

Student-Record-Data-Management-System

The TGN X Comunity GameHub Full Project

improved/fixed code for twitter tgn implementation

TGN for user-item interaction prediction in an ecommerce platform.

TGN for user-item interaction prediction in an ecommerce platform.

Wikipedia dataset for benchmarking dynamic GNNs. Introduces TGN-mems, a SOTA dynamic GNN

Using Rossi et. al.'s TGN Model to perform temporal link prediction task; competition under WSDM 2022 (Graphile is our team name)

A topology-aware extension of Temporal Graph Networks (TGN) for modeling evolving graph structures with fine-grained temporal and structural dependencies. Optimized for dynamic link prediction, fraud detection, and transaction tracing.

Production-ready AML detection system using Graph Neural Networks (GraphSAGE, GAT, TGN) for real-time fraud detection on crypto transaction graphs. FastAPI backend, Streamlit dashboard, Dockerized microservices, advanced explainability, enterprise security, and full-stack monitoring (Prometheus, Grafana, ELK).

2022 project by Shu Bin at Georgia Institute of Technology. This project implements a TGN model using high frequency S&P 500 data to predict the stocks' realized volatility. This algorithm is able to achieve higher accuracy than many conventional machine learning methods, such as linear regression and LightBGM.

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Meu repositório pessoal.

Proyecto TGN

TGN

User shop for tgnsrdcwkyiomhhebgemti