- Algorithmic Aspects of Temporal Graphs VI🔍
- Structural|RNN🔍
- Temporal Graph Neural Networks With Pytorch🔍
- Introduction — PyTorch Geometric Temporal documentation🔍
- An Introduction to Temporal Spanners🔍
- Semantic Centrality for Temporal Graphs🔍
- Synthetic Temporal Graph Generation🔍
- Efficient Processing of Growing Temporal Graphs🔍
AN INTRODUCTION TO TEMPORAL GRAPHS
Algorithmic Aspects of Temporal Graphs VI -- ICALP 2023 workshop
Abstract: A temporal graph has an edge set that may change over discrete time steps, and a temporal path (or walk) must traverse edges that ...
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
In this paper, we propose an approach for combining the power of high-level spatio-temporal graphs and sequence learning success of Recurrent Neural Networks ( ...
In the following example, you will see how to do link prediction with TGN. Exploring an Amazon data network in Memgraph. Through this short ...
Introduction — PyTorch Geometric Temporal documentation
It is the first open-source library for temporal deep learning on geometric structures and provides constant time difference graph neural networks on dynamic ...
An Introduction to Temporal Spanners - Arnaud Casteigts
→ All vertices are either emitters or collectors! A lot of structure to work with: ▻ Complete bipartite graph H between emitters and collectors.
Semantic Centrality for Temporal Graphs - HAL
Keywords: Centrality Metrics · Degree · Influential Entities · Temporal. Graphs. 1 Introduction. Understanding the influence of entities is a ...
Synthetic Temporal Graph Generation - Washington State University
Various generative models attempt to generate static graphs similar to real- world graphs. However, generation of temporal graphs is still an open research area ...
Efficient Processing of Growing Temporal Graphs - CUHK CSE
A temporal graph is a graph in which the relationship between vertices is not just mod- eled by an edge between them, but the time period when the relationship ...
K-Truss Based Temporal Graph Convolutional Network for Dynamic ...
Then, we briefly introduce the principle of GCN. 3.1. Dynamic Graph Representation Learning. A dynamic graph can be represented as G = (V, E), where V denotes ...
Convergecast Tree on Temporal Graphs - EBSCOhost
Keywords: Convergecast tree; temporal graph. 1. Introduction. Temporal graphs [20] are useful tools to model dynamic network topologies where the edge set ...
Recent Link Classification on Temporal Graphs Using Graph Profiler
An overview of our research contributions are as follows: Formalization of RLC: We establish Recent Link Classification (RLC) as a distinct task ...
Traveling Salesman Problems in Temporal Graphs? - CiteSeerX
In the way, we also introduce temporal versions of other fundamental combinatorial optimization problems, for which we obtain polynomial-time approximation ...
A Data-Driven Graph Generative Model for Temporal Interaction ...
Figure 1: An example of temporal interaction networks. (a). An online transaction network with five users. (b) The corresponding system logs ...
On exploring always-connected temporal graphs of small pathwidth
ral graph, a specified start vertex s, and an integer L, and ask if there is a temporal walk with L time steps that visits all vertices in the ...
MERIT: Learning Multi-level Representations on Temporal Graphs
important to develop an inductive architecture for temporal graph representation in a more principled way, which hinges on jointly characterizing individual- ...
Algorithmic Aspects of Temporal Graphs
Our over-arching goal is to develop an algorithmic temporal graph theory, similar to the algorithmic graph theory on static graphs.
Scalable Generative Modelling for Temporal Interaction Graphs
Further, TAGGEN also requires the computation of the in- verse of an N′×N′ matrix, where N′ is the number of nodes in the equivalent static graph to impute node ...
Temporal Graph Generation - An empirical study
(3) Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, and Sayan Ranu. 2022. TIGGER: Scalable Generative Modelling for Temporal Interaction. Graphs.
A Gentle Introduction to Graph Neural Networks - Distill.pub
undefined. [6]. and recommendation systems. Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in {Real-Time} C ...
Paths and connectivity in temporal graphs
To cite an example with great current relevance,. Page 5. consider a graph that models the physical proximity between people. In this graph, the vertices are ...