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A Practical, Progressively-Expressive GNN
Neural Information Processing Systems (NeurIPS), 2022
18 October 2022
Lingxiao Zhao
Louis Härtel
Neil Shah
Leman Akoglu
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Papers citing
"A Practical, Progressively-Expressive GNN"
14 / 14 papers shown
Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
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Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective
Junru Zhou
Muhan Zhang
306
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04 Oct 2024
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
506
6
0
03 Jul 2024
Demystifying Higher-Order Graph Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
542
7
0
18 Jun 2024
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
Ziquan Wei
Tingting Dan
Guorong Wu
257
0
0
12 Feb 2024
Rethinking the Capacity of Graph Neural Networks for Branching Strategy
Neural Information Processing Systems (NeurIPS), 2024
Ziang Chen
Jialin Liu
Xiaohan Chen
Xinshang Wang
Wotao Yin
540
11
0
11 Feb 2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel
Meng-Chieh Lee
Lingxiao Zhao
Leman Akoglu
277
9
0
08 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Lingxiao Zhao
Xueying Ding
Leman Akoglu
DiffM
296
20
0
06 Feb 2024
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Neural Information Processing Systems (NeurIPS), 2023
Lecheng Kong
Jiarui Feng
Hao Liu
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
200
18
0
29 Oct 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
Neural Information Processing Systems (NeurIPS), 2023
Jiarui Feng
Lecheng Kong
Hao Liu
Dacheng Tao
Fuhai Li
Muhan Zhang
Yixin Chen
353
17
0
05 Jun 2023
An Empirical Study of Realized GNN Expressiveness
International Conference on Machine Learning (ICML), 2023
Yanbo Wang
Muhan Zhang
336
28
0
16 Apr 2023
Equivariant Polynomials for Graph Neural Networks
International Conference on Machine Learning (ICML), 2023
Omri Puny
Derek Lim
B. Kiani
Haggai Maron
Y. Lipman
338
41
0
22 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning?
Neural Information Processing Systems (NeurIPS), 2023
Zian Li
Xiyuan Wang
Yinan Huang
Muhan Zhang
304
26
0
11 Feb 2023
Benchmarking Graph Neural Networks
Journal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.5K
1,126
0
02 Mar 2020
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