ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.05396
  4. Cited By
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning

8 February 2024
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
ArXivPDFHTML

Papers citing "TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning"

2 / 2 papers shown
Title
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence
  Modeling on Dynamic Entity Embeddings
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
Hongkuan Zhou
James Orme-Rogers
R. Kannan
Viktor Prasanna
AI4TS
26
4
0
09 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,592
0
04 May 2021
1