#计算机科学#PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
#时序数据库#[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
#计算机科学#tsl: a PyTorch library for processing spatiotemporal data.
A versioning data store for time-variant graph data.
#数据仓库#A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
#计算机科学#Efficient and Modular ML on Temporal Graphs
🌟 Vertex Centric approach for building GNN/TGNNs
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
d3 plugin to create a temporal network visualization
[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
A Temporal Networks Library written in Python
#计算机科学#Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection
omnikeeper is a general-purpose and highly flexible data store solution and application framework
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
#计算机科学#Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift
Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions