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Do We Really Need Complicated Model Architectures For Temporal Networks?

Do We Really Need Complicated Model Architectures For Temporal Networks?

22 February 2023
Weilin Cong
Si Zhang
Jian Kang
Baichuan Yuan
Hao Wu
Xin Zhou
Hanghang Tong
Mehrdad Mahdavi
    GNN
    AI4TS
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Papers citing "Do We Really Need Complicated Model Architectures For Temporal Networks?"

50 / 68 papers shown
Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
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
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes
DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes
S. Linok
Vadim Semenov
Anastasia Trunova
Oleg Bulichev
Dmitry A. Yudin
40
0
0
06 May 2025
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
Shengtao Zhang
Haokai Zhang
Shiqi Lou
Zicheng Wang
Zinan Zeng
Yilin Wang
Minnan Luo
64
0
0
24 Apr 2025
Trajectory Encoding Temporal Graph Networks
Trajectory Encoding Temporal Graph Networks
Jiafeng Xiong
Rizos Sakellariou
AI4CE
40
0
0
15 Apr 2025
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Hsing-Huan Chung
Shravan Chaudhari
Xing Han
Yoav Wald
S. Saria
Joydeep Ghosh
AI4TS
31
0
0
10 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
Or Feldman
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Chaim Baskin
Moshe Eliasof
AI4TS
19
0
0
09 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
Jongha Lee
Taehyung Kwon
Heechan Moon
Kijung Shin
AI4TS
41
0
0
01 Apr 2025
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang
Yun Xiong
Yateng Tang
Xi Chen
Zian Jia
Zehao Gu
Jiarong Xu
Jiawei Zhang
AI4CE
62
1
0
18 Mar 2025
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
Runlin Lei
Jiarui Ji
Haipeng Ding
Lu Yi
Zhewei Wei
Yongchao Liu
Chuntao Hong
AI4CE
53
0
0
05 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Sidharth Agarwal
Tanishq Dubey
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
32
0
0
02 Mar 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TS
AI4CE
31
1
0
28 Feb 2025
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation
Yuanyuan Xu
Wenjie Zhang
Y. Zhang
Xuemin Lin
Xiwei Xu
56
0
0
27 Feb 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
Yuanyuan Xu
Wenjie Zhang
Xuemin Lin
Y. Zhang
AI4TS
34
0
0
23 Feb 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Xunkai Li
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
48
0
0
27 Jan 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
82
0
0
21 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at
  Scale
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
73
1
0
01 Dec 2024
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
25
1
0
06 Nov 2024
PageRank Bandits for Link Prediction
PageRank Bandits for Link Prediction
Yikun Ban
Jiaru Zou
Zihao Li
Yunzhe Qi
Dongqi Fu
Jian Kang
Hanghang Tong
Jingrui He
29
2
0
03 Nov 2024
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
Xiaodong Lu
Leilei Sun
T. Zhu
Weifeng Lv
AI4TS
21
1
0
05 Oct 2024
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
Xiao Lin
Zhining Liu
Dongqi Fu
Ruizhong Qiu
Hanghang Tong
AAML
AI4TS
43
5
0
03 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order
  Expressive Power
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
Zhe Wang
Tianjian Zhao
Zhen Zhang
Jiawei Chen
Sheng Zhou
Yan Feng
Chun Chen
Can Wang
15
1
0
02 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
23
0
0
26 Sep 2024
Retrieval Augmented Generation for Dynamic Graph Modeling
Retrieval Augmented Generation for Dynamic Graph Modeling
Yuxia Wu
Lizi Liao
Yuan Fang
35
3
0
26 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in
  Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
19
1
0
22 Aug 2024
Dynamic Graph Representation Learning for Passenger Behavior Prediction
Dynamic Graph Representation Learning for Passenger Behavior Prediction
Mingxuan Xie
Tao Zou
Junchen Ye
Bowen Du
Runhe Huang
AI4TS
27
0
0
17 Aug 2024
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li
Shiyin Tan
Ying Zhang
Ming Jin
Shirui Pan
Manabu Okumura
Renhe Jiang
Mamba
18
2
0
13 Aug 2024
A Novel Spatiotemporal Coupling Graph Convolutional Network
A Novel Spatiotemporal Coupling Graph Convolutional Network
Fanghui Bi
24
0
0
09 Aug 2024
Spatial-temporal Graph Convolutional Networks with Diversified
  Transformation for Dynamic Graph Representation Learning
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
Ling Wang
Yixiang Huang
Hao Wu
19
0
0
05 Aug 2024
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for
  Dynamic Link Prediction
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction
Ke Cheng
Linzhi Peng
Junchen Ye
Leilei Sun
Bowen Du
28
3
0
30 Jul 2024
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNN
AI4TS
31
1
0
26 Jul 2024
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional
  Encoding
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
Zhe Wang
Sheng Zhou
Jiawei Chen
Zhen Zhang
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
AI4TS
16
2
0
24 Jul 2024
UTG: Towards a Unified View of Snapshot and Event Based Models for
  Temporal Graphs
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
Shenyang Huang
Farimah Poursafaei
Reihaneh Rabbany
Guillaume Rabusseau
Emanuele Rossi
28
2
0
17 Jul 2024
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time
  Dynamic Graph Model
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
Yuxing Tian
Yiyan Qi
Aiwen Jiang
Qi Huang
Jian Guo
DiffM
18
0
0
11 Jul 2024
Self-Explainable Temporal Graph Networks based on Graph Information
  Bottleneck
Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck
Sangwoo Seo
Sungwon Kim
Jihyeong Jung
Yoonho Lee
Chanyoung Park
21
4
0
19 Jun 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
Jiasheng Zhang
Jialin Chen
Menglin Yang
Aosong Feng
Shuang Liang
Jie Shao
Rex Ying
21
10
0
17 Jun 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph
  Modeling
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
Siwei Zhang
Xi Chen
Yun Xiong
Xixi Wu
Yao Zhang
Yongrui Fu
Yinglong Zhao
Jiawei Zhang
24
8
0
14 Jun 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
21
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
21
0
0
07 Jun 2024
Long Range Propagation on Continuous-Time Dynamic Graphs
Long Range Propagation on Continuous-Time Dynamic Graphs
Alessio Gravina
Giulio Lovisotto
Claudio Gallicchio
Davide Bacciu
Claas Grohnfeldt
AI4TS
33
6
0
04 Jun 2024
Temporal Graph Rewiring with Expander Graphs
Temporal Graph Rewiring with Expander Graphs
Katarina Petrović
Shenyang Huang
Farimah Poursafaei
Petar Velickovic
AI4CE
42
4
0
04 Jun 2024
SIG: Efficient Self-Interpretable Graph Neural Network for
  Continuous-time Dynamic Graphs
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
Lanting Fang
Yulian Yang
Kai Wang
Shanshan Feng
Kaiyu Feng
Jie Gui
Shuliang Wang
Y. Ong
27
1
0
29 May 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Postuvan
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
24
2
0
28 May 2024
Exploring the Performance of Continuous-Time Dynamic Link Prediction
  Algorithms
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
Raphaël Romero
Maarten Buyl
Tijl De Bie
Jefrey Lijffijt
21
0
0
27 May 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion
  Prediction with T1-MRI-based Brain Network
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network
Yilin Leng
Wenju Cui
Chen Bai
Xi Jiang
Shuangqing Chen
Jian Zheng
21
0
0
20 Mar 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
25
5
0
23 Feb 2024
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via
  Self-Supervised Learning
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
Jongha Lee
Sunwoo Kim
Kijung Shin
AI4TS
36
3
0
19 Feb 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
11
1
0
08 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with
  Structure-Aware Tokenization
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva
Raika Karimi
Faezeh Faez
Yingxue Zhang
28
2
0
02 Feb 2024
Multi-perspective Feedback-attention Coupling Model for Continuous-time
  Dynamic Graphs
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
Xiaobo Zhu
Yan Wu
Zhipeng Li
Hailong Su
Jin Che
Zhanheng Chen
Liying Wang
14
0
0
13 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient
  Transformers
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
30
6
0
30 Nov 2023
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