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
Multi-Head Graph Convolutional Network for Structural Connectome Classification Anees Kazi Jocelyn M Mora Bruce Fischl Yun Cao I. Aganj 13 3 0 02 May 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 34 54 0 28 Apr 2023
Learning Graph Neural Networks using Exact Compression Jeroen Bollen Jasper Steegmans Jan Van den Bussche Stijn Vansummeren GNN AI4CE 14 6 0 28 Apr 2023
Interpretable Neural-Symbolic Concept Reasoning Pietro Barbiero Gabriele Ciravegna Francesco Giannini M. Zarlenga Lucie Charlotte Magister Alberto Tonda Pietro Lio' F. Precioso M. Jamnik G. Marra NAI LRM 61 38 0 27 Apr 2023
What Do GNNs Actually Learn? Towards Understanding their Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 13 0 0 21 Apr 2023
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs Matthieu Cordonnier Nicolas Keriven Nicolas M Tremblay Samuel Vaiter GNN 49 7 0 21 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 24 9 0 20 Apr 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 28 4 0 20 Apr 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 24 6 0 13 Apr 2023
Road Network Representation Learning: A Dual Graph based Approach L. Zhang Cheng Long AI4TS GNN 8 11 0 13 Apr 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification Huaiyuan Liu Xianzhang Liu Donghua Yang Zhiyu Liang Hongzhi Wang Yong Cui Jun Gu AI4TS 38 28 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 51 141 0 11 Apr 2023
GRIL: A $2$ -parameter Persistence Based Vectorization for Machine Learning Cheng Xin Soham Mukherjee Shreyas N. Samaga T. Dey 37 15 0 11 Apr 2023
SELFormer: Molecular Representation Learning via SELFIES Language Models Atakan Yüksel Erva Ulusoy Atabey Ünlü Tunca Dogan 25 55 0 10 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 14 29 0 04 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 31 12 0 04 Apr 2023
The Exact Sample Complexity Gain from Invariances for Kernel Regression B. Tahmasebi Stefanie Jegelka 28 17 0 24 Mar 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 30 5 0 24 Mar 2023
Understanding Expressivity of GNN in Rule Learning Haiquan Qiu Yongqi Zhang Yong Li Quanming Yao AI4CE 27 5 0 22 Mar 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 29 12 0 19 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 23 1 0 15 Mar 2023
Schema Inference for Interpretable Image Classification Haofei Zhang Mengqi Xue Xiaokang Liu Kaixuan Chen Jie Song Mingli Song OCL 44 3 0 12 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 11 99 0 10 Mar 2023
Sparse and Local Networks for Hypergraph Reasoning Guangxuan Xiao L. Kaelbling Jiajun Wu Jiayuan Mao NAI ReLM LRM 35 1 0 09 Mar 2023
On the Expressiveness and Generalization of Hypergraph Neural Networks Zhezheng Luo Jiayuan Mao J. Tenenbaum L. Kaelbling NAI AI4CE 28 5 0 09 Mar 2023
Probing Graph Representations Mohammad Sadegh Akhondzadeh Vijay Lingam Aleksandar Bojchevski 39 10 0 07 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 33 13 0 07 Mar 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 19 4 0 07 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 26 18 0 06 Mar 2023
Contrastive Video Question Answering via Video Graph Transformer Junbin Xiao Pan Zhou Angela Yao Yicong Li Richang Hong Shuicheng Yan Tat-Seng Chua ViT 24 35 0 27 Feb 2023
Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention Bin Liu Xiaolin K. Wei Bo Li Junjie Cao Yunyu Lai CVBM 19 1 0 24 Feb 2023
Some Might Say All You Need Is Sum Eran Rosenbluth Jan Toenshoff Martin Grohe 23 16 0 22 Feb 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 28 31 0 22 Feb 2023
A General-Purpose Transferable Predictor for Neural Architecture Search Fred X. Han Keith G. Mills Fabián A. Chudak Parsa Riahi Mohammad Salameh Jialin Zhang Wei Lu Shangling Jui Di Niu AI4CE OOD 18 2 0 21 Feb 2023
On the Expressivity of Persistent Homology in Graph Learning Bastian Alexander Rieck Bastian Rieck 19 13 0 20 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 22 2 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong Son-Hy Risi Kondor ViT AI4CE 29 2 0 17 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning? Zian Li Xiyuan Wang Yinan Huang Muhan Zhang 37 17 0 11 Feb 2023
Neural Capacitated Clustering Jonas K. Falkner Lars Schmidt-Thieme 24 1 0 10 Feb 2023
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer Md. Rezaul Karim Lina Molinas Comet Oya Beyan Dietrich-Rebholz Schuhmann Stefan Decker 17 2 0 09 Feb 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 31 40 0 09 Feb 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 49 86 0 08 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio' Michael M. Bronstein 38 112 0 06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 35 24 0 04 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 40 9 0 02 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lió F. Scarselli Andrea Passerini AI4CE 23 50 0 02 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 27 0 0 02 Feb 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs Theodor Westny Joel Oskarsson Björn Olofsson Erik Frisk 32 31 0 01 Feb 2023
Complete Neural Networks for Complete Euclidean Graphs Snir Hordan Tal Amir S. Gortler Nadav Dym 3DPC 29 5 0 31 Jan 2023
Zero-One Laws of Graph Neural Networks Sam Adam-Day Theodor-Mihai Iliant .Ismail .Ilkan Ceylan GNN AI4CE 26 3 0 30 Jan 2023