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

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

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

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

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