temporal-graph-networks

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Efficient and Modular ML on Temporal Graphs

CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056

[AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

C++ Port of Temporal Graph Networks for Deep Learning on Dynamic Graphs

Attention Temporal Graph Convolutional Networks architecture on water distribution systems using Tensorflow

Web Traffic Prediction via Temporal Graph Neural Network

Using Streamlit to Host a Pyvis Visualisation of the Teenage Glasgow Friendships Temporal Graph Data Loaded within Raphtory

Temporal Graph Network pipeline for NCAA game outcome prediction using PyTorch Geometric and the March Machine Learning Mania 2025 dataset.

Real-time smurfing/layering detection in cross-border settlements.

Détection de cyberattaques par Temporal Graph Network (TGN) sur graphe dynamique de communication IP — PyTorch Geometric, jeu de données UNSW-NB15

Real‑time multi‑person action recognition from 2D pose (keypoints) using YOLO, ViTpose, Kalman Filter and custom temporal GraphSAGE and Transformers.

Monitoring and prediction of incoming crash/high-traffic in hosted services using TGCN

Channel-asymmetric poisoning of temporal GNN link prediction: targeted deletion transfers to unseen victim architectures, injected noise does not. Includes a budget-matched, reproducible evaluation harness whose runs are bit-identical on repeat.

A Time-Aware Self-Supervised Framework for Anomaly Detection in Temporal Graphs