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A Comprehensive Survey of Dynamic Graph Neural Networks: Models,
  Frameworks, Benchmarks, Experiments and Challenges

A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges

1 May 2024
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
    AI4CE
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges"

11 / 11 papers shown
Title
Enhancing the Expressivity of Temporal Graph Networks through
  Source-Target Identification
Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
Benedict Aaron Tjandra
Federico Barbero
Michael M. Bronstein
35
1
0
06 Nov 2024
Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration
  and Evaluation using Novel Metrics and Dataset
Advancing Agentic Systems: Dynamic Task Decomposition, Tool Integration and Evaluation using Novel Metrics and Dataset
Adrian Garret Gabriel
Alaa Alameer Ahmad
Shankar Kumar Jeyakumar
LLMAG
25
1
0
29 Oct 2024
Retrieval Augmented Generation for Dynamic Graph Modeling
Retrieval Augmented Generation for Dynamic Graph Modeling
Yuxia Wu
Lizi Liao
Yuan Fang
49
3
0
26 Aug 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
32
1
0
07 Jun 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
34
3
0
07 May 2024
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on
  Dynamic Graphs
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs
Yuchen Zhong
Guangming Sheng
Tianzuo Qin
Minjie Wang
Quan Gan
Chuan Wu
AI4CE
GNN
21
6
0
29 Nov 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TS
AI4CE
81
181
0
25 Mar 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Chunyang Wang
Desen Sun
Yunru Bai
GNN
AI4CE
39
15
0
01 Jan 2023
Dynamic Graph Echo State Networks
Dynamic Graph Echo State Networks
Domenico Tortorella
A. Micheli
29
10
0
16 Oct 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative Filtering
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
93
69
0
08 Jan 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
192
744
0
03 Sep 2019
1