omnikeeper is a general-purpose and highly flexible data store solution and application framework
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Updated
May 23, 2024 - C#
omnikeeper is a general-purpose and highly flexible data store solution and application framework
🌟 Vertex Centric approach for building GNN/TGNNs
tsl: a PyTorch library for processing spatiotemporal data.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
The study delves into the dynamics of human communication within various social settings, from intimate groups to global online platforms, focusing on the reciprocal exchange of information as a cornerstone for social stability, cohesion, and cooperation.
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).
[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
DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
A Temporal Networks Library written in Python
Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
Sankey diagram web preview For Emerging Research Topics during late 2022 generated using BERTtopic.
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
A dynamic data structure for reachability queries for temporal graphs
The code accompanies the paper "On Atomic Cliques in Temporal Graphs".
A versioning data store for time-variant graph data.
d3 plugin to create a temporal network visualization
Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling
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