DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs

28 September 2021

Papers citing "DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs"

7 / 7 papers shown

Title
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 120 0 0 15 Dec 2024
Gaussian Embedding of Temporal Networks Raphaël Romero Jefrey Lijffijt Riccardo Rastelli Marco Corneli Tijl De Bie 39 1 0 27 May 2024
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers Alan John Varghese Aniruddha Bora Mengjia Xu George Karniadakis 36 5 0 05 Jul 2023
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions Anson Bastos Abhishek Nadgeri Kuldeep Singh Toyotaro Suzumura Manish Singh 41 7 0 22 Nov 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 72 40 0 16 May 2022
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 245 31,257 0 16 Jan 2013