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What Can We Learn from State Space Models for Machine Learning on
  Graphs?

What Can We Learn from State Space Models for Machine Learning on Graphs?

9 June 2024
Yinan Huang
Siqi Miao
Pan Li
ArXivPDFHTML

Papers citing "What Can We Learn from State Space Models for Machine Learning on Graphs?"

13 / 13 papers shown
Title
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
83
57
0
13 Feb 2024
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
27
74
0
19 Jun 2023
Taming graph kernels with random features
Taming graph kernels with random features
K. Choromanski
24
12
0
29 Apr 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
69
74
0
02 Mar 2023
Generalized Laplacian Positional Encoding for Graph Representation
  Learning
Generalized Laplacian Positional Encoding for Graph Representation Learning
Sohir Maskey
Alipanah Parviz
Maximilian Thiessen
Hannes Stärk
Ylli Sadikaj
Haggai Maron
AI4CE
24
15
0
28 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
76
46
0
22 Oct 2022
Liquid Structural State-Space Models
Liquid Structural State-Space Models
Ramin Hasani
Mathias Lechner
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Daniela Rus
AI4TS
89
93
0
26 Sep 2022
Affinity-Aware Graph Networks
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
46
15
0
23 Jun 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
70
175
0
23 May 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
179
304
0
15 Oct 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
246
1,982
0
28 Jul 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
173
907
0
02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
152
1,748
0
02 Mar 2017
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