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Strada-LLM: Graph LLM for traffic prediction

Strada-LLM: Graph LLM for traffic prediction

17 February 2025
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Strada-LLM: Graph LLM for traffic prediction"

46 / 46 papers shown
Title
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic
  Prediction
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction
Zhonghang Li
Lianghao Xia
Yong-mei Xu
Chao Huang
OODAI4TS
91
13
0
28 May 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order
  Graph Transformers
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
Cai Zhou
Rose Yu
Yusu Wang
110
7
0
04 Apr 2024
Foundation Models for Time Series Analysis: A Tutorial and Survey
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang
Haomin Wen
Yuqi Nie
Yushan Jiang
Ming Jin
Dongjin Song
Shirui Pan
Qingsong Wen
AI4TSAI4CE
155
152
0
21 Mar 2024
UrbanGPT: Spatio-Temporal Large Language Models
UrbanGPT: Spatio-Temporal Large Language Models
Zhonghang Li
Lianghao Xia
Jiabin Tang
Yong-mei Xu
Lei Shi
Long Xia
D. Yin
Chao Huang
AI4TS
122
58
0
25 Feb 2024
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal
  Prediction
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan
Jingtao Ding
J. Feng
Depeng Jin
Yong Li
AI4TS
107
71
0
19 Feb 2024
Spatial-Temporal Large Language Model for Traffic Prediction
Spatial-Temporal Large Language Model for Traffic Prediction
Chenxi Liu
Sun Yang
Qianxiong Xu
Zhishuai Li
Cheng Long
Ziyue Li
Rui Zhao
AI4TS
127
83
0
18 Jan 2024
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
156
61
0
21 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
Samuel Dooley
Gurnoor Singh Khurana
Chirag Mohapatra
Siddartha Naidu
Colin White
AI4TS
146
66
0
03 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and
  Interpretable Basis
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
Zelin Ni
Hang Yu
Shizhan Liu
Jianguo Li
Weiyao Lin
AI4TS
82
37
0
31 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series
  Forecasting
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu
Junfeng Hu
Yuan N. Li
Shizhe Diao
Yuxuan Liang
Bryan Hooi
Roger Zimmermann
AI4TS
121
90
0
15 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series
  Forecasting
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Kashif Rasul
Arjun Ashok
Andrew Robert Williams
Hena Ghonia
Rishika Bhagwatkar
...
Nicolas Chapados
Alexandre Drouin
Valentina Zantedeschi
Yuriy Nevmyvaka
Irina Rish
AI4TSBDL
90
50
0
12 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Ming Jin
Shiyu Wang
Lintao Ma
Zhixuan Chu
James Y. Zhang
...
Pin-Yu Chen
Yuxuan Liang
Yuan-Fang Li
Shirui Pan
Qingsong Wen
AI4TS
175
420
0
03 Oct 2023
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate
  Time Series
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Arjun Ashok
Étienne Marcotte
Valentina Zantedeschi
Nicolas Chapados
Alexandre Drouin
AI4TS
96
12
0
02 Oct 2023
FlashAttention-2: Faster Attention with Better Parallelism and Work
  Partitioning
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Tri Dao
LRM
168
1,336
0
17 Jul 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule
  Zero-Shot Learning
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao
Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
Lingpeng Kong
Qi Liu
94
65
0
28 May 2023
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a
  Regularized Encoder-Decoder
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder
Z. Fu
W. Lam
Qian Yu
Anthony Man-Cho So
Shengding Hu
Zhiyuan Liu
Nigel Collier
AuLLM
69
44
0
08 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.7K
14,870
0
15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.7K
13,558
0
27 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM
One Fits All:Power General Time Series Analysis by Pretrained LM
Tian Zhou
Peisong Niu
Xue Wang
Liang Sun
Rong Jin
AI4TS
182
443
0
23 Feb 2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Mu-Hwa Chen
Zhijian Xu
Ailing Zeng
Qiang Xu
AI4TS
82
10
0
18 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFinAI4TS
161
1,448
0
27 Nov 2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue
Flora D.Salim
AI4TS
144
166
0
20 Sep 2022
Repository-Level Prompt Generation for Large Language Models of Code
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava
Hugo Larochelle
Daniel Tarlow
103
144
0
26 Jun 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for
  Multivariate Time Series Forecasting
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
AI4TS
112
231
0
18 Jun 2022
ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TS
131
170
0
03 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
284
1,493
0
30 Jan 2022
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
146
2,384
0
24 Jun 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
AI4TS
73
485
0
24 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
846
10,659
0
17 Jun 2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional
  Clustered Data
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai
Rong Ma
106
121
0
16 May 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
382
2,555
0
20 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
861
4,129
0
18 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CMLBDLAI4TS
181
244
0
18 Jan 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.2K
42,753
0
28 May 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
99
202
0
21 Apr 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TSAI4CE
161
1,407
0
11 Nov 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula
  Processes
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes
David Salinas
Michael Bohlke-Schneider
Laurent Callot
Roberto Medico
Jan Gasthaus
AI4TS
92
229
0
07 Oct 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
76
106
0
13 Jul 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNNAI4TS
132
2,210
0
31 May 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
188
1,076
0
24 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija
Bryan Perozzi
Amol Kapoor
N. Alipourfard
Kristina Lerman
Hrayr Harutyunyan
Greg Ver Steeg
Aram Galstyan
GNN
171
924
0
30 Apr 2019
Geometric structure of graph Laplacian embeddings
Geometric structure of graph Laplacian embeddings
Nicolas García Trillos
Franca Hoffmann
Bamdad Hosseini
84
24
0
30 Jan 2019
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time
  Series
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen
Jing Gao
Xiaomin Song
Liang Sun
Huan Xu
Shenghuo Zhu
AI4TS
76
214
0
05 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
2.0K
95,673
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
1.0K
133,599
0
12 Jun 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.5K
150,708
0
22 Dec 2014
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