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DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training

DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training

14 July 2023
Hongkuan Zhou
Da Zheng
Xiang Song
George Karypis
Viktor Prasanna
    GNN
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Papers citing "DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training"

5 / 5 papers shown
Title
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
Joao Bravo
Jacopo Bono
Pedro Saleiro
Hugo Ferreira
P. Bizarro
32
0
0
31 Dec 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
Xiaohui Zhang
Yanbo Wang
Xiyuan Wang
Muhan Zhang
34
1
0
12 Jun 2024
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
Moritz Lampert
Christopher Blöcker
Ingo Scholtes
37
0
0
07 Jun 2024
A survey of dynamic graph neural networks
A survey of dynamic graph neural networks
Yanping Zheng
Lu Yi
Zhewei Wei
AI4TS
AI4CE
27
7
0
28 Apr 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
24
1
0
08 Feb 2024
1