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1810.10627
Cited By
Streaming Graph Neural Networks
24 October 2018
Yao Ma
Ziyi Guo
Z. Ren
Eric Zhao
Jiliang Tang
Dawei Yin
GNN
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Papers citing
"Streaming Graph Neural Networks"
28 / 28 papers shown
Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
29
0
0
07 May 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
70
2
0
14 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
99
0
0
07 Feb 2025
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong
Hieu Vu
Tianbao Yang
Bijaya Adhikari
GNN
40
0
0
25 Jun 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
35
5
0
05 Dec 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
40
23
0
23 May 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
24
96
0
23 Mar 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
37
12
0
13 Feb 2023
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Jiayun Wu
Tao Jia
Yansong Wang
Li Tao
6
2
0
12 Nov 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Zehong Wang
Qi Li
Donghua Yu
27
3
0
03 Oct 2022
Representing Social Networks as Dynamic Heterogeneous Graphs
Negar Maleki
Balaji Padmanabhan
K. Dutta
13
2
0
02 Sep 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
18
30
0
15 Aug 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
23
29
0
06 Apr 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
37
50
0
22 Feb 2022
Multi-Relation Aware Temporal Interaction Network Embedding
Ling Chen
Shanshan Yu
Dandan Lyu
Da Wang
AI4TS
25
1
0
09 Oct 2021
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
23
95
0
15 Apr 2021
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao
Bruno Ribeiro
27
11
0
12 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
24
32
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
32
26
0
02 Mar 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
9
607
0
19 Feb 2020
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel
Seyed Mehran Kazemi
Marcus A. Brubaker
Pascal Poupart
25
340
0
06 Jul 2019
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
0
30 Apr 2019
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
39
1,319
0
11 Dec 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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