Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 808 papers shown

Title
Higher-Order Expander Graph Propagation Thomas Christie Yu He 24 3 0 14 Nov 2023
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Going beyond persistent homology using persistent homology Johanna Immonen Amauri H. Souza Vikas K. Garg 31 9 0 10 Nov 2023
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent Lorenz Kummer Samir Moustafa Nils N. Kriege Wilfried N. Gansterer GNN AAML 27 0 0 02 Nov 2023
Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua Moshe Eliasof E. Meirom Bruno Ribeiro Haggai Maron 20 13 0 30 Oct 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 26 5 0 30 Oct 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong Jiarui Feng Hao Liu Dacheng Tao Yixin Chen Muhan Zhang AI4CE 32 11 0 29 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 36 13 0 28 Oct 2023
Graph-based multimodal multi-lesion DLBCL treatment response prediction from PET images Oriane Thiery M. Rizkallah C. Bailly C. Bodet-Milin Emmanuel Itti R. Casasnovas S. Gouill T. Carlier D. Mateus MedIm AI4CE 11 1 0 25 Oct 2023
Graph Neural Networks with polynomial activations have limited expressivity Sammy Khalife 29 1 0 19 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 30 2 0 19 Oct 2023
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition Andres Tello Victoria Degeler Alexander Lazovik 15 0 0 18 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 32 5 0 16 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 37 20 0 16 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 39 2 0 11 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 47 5 0 10 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu Zhengwu Zhang Liang Zhao GNN 31 23 0 07 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 34 8 0 04 Oct 2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning Shang Zhu Bharath Ramsundar Emil Annevelink Hongyi Lin Adarsh Dave Pin-Wen Guan Kevin Gering Venkat Viswanathan 10 1 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 39 12 0 03 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 34 20 0 02 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau Eric Lu Nikolaos Karalias Jessica Xu Stefanie Jegelka 24 1 0 01 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 37 1 0 30 Sep 2023
One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 15 110 0 29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 19 6 0 29 Sep 2023
Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems Hao Li Lars Schmidt-Thieme 38 2 0 29 Sep 2023
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters Matthias Lanzinger Pablo Barceló 15 7 0 29 Sep 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 39 3 0 28 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 27 18 0 22 Sep 2023
Curriculum Reinforcement Learning via Morphology-Environment Co-Evolution Shuang Ao Tianyi Zhou Guodong Long Xuan Song Jing Jiang 25 3 0 21 Sep 2023
Mitigating Over-Smoothing and Over-Squashing using Augmentations of Forman-Ricci Curvature Lukas Fesser Melanie Weber 65 20 0 17 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 24 8 0 10 Sep 2023
Graph Neural Networks Use Graphs When They Shouldn't Maya Bechler-Speicher Ido Amos Ran Gilad-Bachrach Amir Globerson GNN AI4CE 6 14 0 08 Sep 2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention Hao Zhang Haisheng Li Nan Li Xiaochuan Wang AI4CE 21 2 0 03 Sep 2023
Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong Zhichun Guo Nitesh V. Chawla 21 7 0 02 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 40 1 0 01 Sep 2023
Curvature-based Pooling within Graph Neural Networks Cedric Sanders Andreas Roth Thomas Liebig 38 5 0 31 Aug 2023
Spatial Graph Coarsening: Weather and Weekday Prediction with London's Bike-Sharing Service using GNN Yuta Sato Pak-Hei Lam Shruti Gupta Fareesah Hussain 13 0 0 30 Aug 2023
Structural Node Embeddings with Homomorphism Counts Hinrikus Wolf Luca Oeljeklaus Pascal Kuhner Martin Grohe 30 3 0 29 Aug 2023
Approximately Equivariant Graph Networks Ningyuan Huang Ron Levie Soledad Villar 34 18 0 21 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 30 3 0 18 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting Tianyu Fu Chiyue Wei Yu Wang Rex Ying GNN 24 6 0 16 Aug 2023
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness Francesco Campi Lukas Gosch Thomas Wollschläger Yan Scholten Stephan Günnemann AAML 56 2 0 16 Aug 2023
Bringing order into the realm of Transformer-based language models for artificial intelligence and law C. M. Greco Andrea Tagarelli AILaw 22 19 0 10 Aug 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers Leonardo Cotta Gal Yehuda Assaf Schuster Chris J. Maddison 24 2 0 08 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 32 13 0 04 Aug 2023
Factor Graph Neural Networks Zhen Zhang Mohammed Haroon Dupty Fan Wu Javen Qinfeng Shi Fan Wu AI4CE 30 39 0 02 Aug 2023
Hypergraph Isomorphism Computation Yifan Feng Jiashu Han Shihui Ying Yue Gao 14 8 0 26 Jul 2023