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. 2308.14129
  4. Cited By
SPEED: Streaming Partition and Parallel Acceleration for Temporal
  Interaction Graph Embedding

SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding

27 August 2023
Xiangshan Chen
Yongxiang Liao
Yun Xiong
Yao Zhang
Si-Yuan Zhang
Jiawei Zhang
Yiheng Sun
ArXivPDFHTML

Papers citing "SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding"

14 / 14 papers shown
Title
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
149
0
0
01 May 2025
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
32
25
0
13 Feb 2023
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas Garg
111
57
0
29 Sep 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale
  Graphs
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
Hongkuan Zhou
Da Zheng
Israt Nisa
Vasileios Ioannidis
Xiang Song
George Karypis
AI4CE
59
88
0
28 Mar 2022
Efficient Dynamic Graph Representation Learning at Scale
Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen
Yan Zhu
Haowen Xu
Mengya Liu
Liang Xiong
Muhan Zhang
Le Song
34
7
0
14 Dec 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural
  Networks
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin
Sanchit Misra
Guixiang Ma
Ramanarayan Mohanty
E. Georganas
A. Heinecke
Dhiraj D. Kalamkar
Nesreen Ahmed
Sasikanth Avancha
GNN
58
122
0
14 Apr 2021
Inductive Representation Learning in Temporal Networks via Causal
  Anonymous Walks
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang
Yen-Yu Chang
Yunyu Liu
J. Leskovec
Pan Li
CML
AI4TS
71
237
0
15 Jan 2021
DistDGL: Distributed Graph Neural Network Training for Billion-Scale
  Graphs
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng
Chao Ma
Minjie Wang
Jinjing Zhou
Qidong Su
Xiang Song
Quan Gan
Zheng Zhang
George Karypis
FedML
GNN
50
248
0
11 Oct 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Temporal Graph Networks for Deep Learning on Dynamic Graphs
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
AI4CE
127
643
0
18 Jun 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
85
622
0
19 Feb 2020
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
142
1,272
0
20 May 2019
AliGraph: A Comprehensive Graph Neural Network Platform
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
97
388
0
23 Feb 2019
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
137
1,514
0
30 Jan 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
442
15,179
0
07 Jun 2017
1