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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 / 877 papers shown

Title
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 269 3 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 592 7 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 216 2 0 30 Jun 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification Tianjun Yao Jiaqi Sun Defu Cao Kun Zhang Guangyi Chen 207 8 0 28 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 266 15 0 27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 538 81 0 26 Jun 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 228 2 0 25 Jun 2024
Generative Modelling of Structurally Constrained Graphs Manuel Madeira Clément Vignac D. Thanou Pascal Frossard DiffM 209 9 0 25 Jun 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 312 0 0 24 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 172 6 0 20 Jun 2024
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Maciej Besta Florian Scheidl Lukas Gianinazzi Grzegorz Kwa'sniewski S. Klaiman Jürgen Müller Torsten Hoefler 378 5 0 18 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 233 3 0 17 Jun 2024
A Spectral Framework for Evaluating Geodesic Distances Between Graphs S. S. Shuvo Ali Aghdaei Zhuo Feng 281 0 0 15 Jun 2024
On the Expressibility of the Reconstructional Color Refinement V. Arvind J. Köbler O. Verbitsky 103 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 212 64 0 13 Jun 2024
Separation Power of Equivariant Neural Networks Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 160 1 0 13 Jun 2024
Introducing Diminutive Causal Structure into Graph Representation Learning Hang Gao Peng Qiao Yifan Jin Fengge Wu Jiangmeng Li Changwen Zheng 213 6 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen M. Zhang Shaoen Qin Siyu Heng Xiao Luo 393 4 0 13 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 490 5 0 13 Jun 2024
Conformal Load Prediction with Transductive Graph Autoencoders Rui Luo Nicolo Colombo 331 15 0 12 Jun 2024
A novel approach to graph distinction through GENEOs and permutants Giovanni Bocchi Massimo Ferri Patrizio Frosini 187 7 0 12 Jun 2024
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs K. Jeziorek Piotr Wzorek Krzysztof Blachut Andrea Pinna T. Kryjak GNN 290 10 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 487 4 0 11 Jun 2024
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go ApproximationInternational Conference on Machine Learning (ICML), 2024 Alexandre Hayderi Amin Saberi Ellen Vitercik Anders Wikum 221 3 0 10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 221 11 0 09 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 464 19 0 05 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 278 13 0 04 Jun 2024
The Interpretable and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 254 16 0 03 Jun 2024
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets Josh Collyer Tim Watson Iain Phillips GNN 133 1 0 02 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 327 15 0 29 May 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks Wanlin Cai Kun Wang Hao Wu Xiaoxu Chen Yuankai Wu AI4TS 198 3 0 28 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 186 3 0 27 May 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding Niloofar Azizi Mohsen Fayyaz Horst Bischof 265 1 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 309 11 0 27 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 315 8 0 24 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 512 9 0 22 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tönshoff Martin Ritzert Berke Kisin Martin Grohe 180 18 0 20 May 2024
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural NetworksNeural Networks (NN), 2024 Rongrong Ma Guansong Pang Ling-Hao Chen AI4CE 233 3 0 17 May 2024
Scalable Property Valuation Models via Graph-based Deep Learning Enrique Riveros Carla Vairetti Christian Wegmann Santiago Truffa Sebastián Maldonado GNN 197 0 0 10 May 2024
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents Yanfei Dong Lambert Deng Jiazheng Zhang Xiaodong Yu Ting Lin Francesco Gelli Soujanya Poria W. Lee 163 0 0 08 May 2024
Structure-based drug design by denoising voxel grids Pedro H. O. Pinheiro Arian R. Jamasb Omar Mahmood Vishnu Sresht Saeed Saremi DiffM 197 21 0 07 May 2024
Graph as Point SetInternational Conference on Machine Learning (ICML), 2024 Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 345 4 0 05 May 2024
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory Anwar Said O. Ahmad W. Abbas Mudassir Shabbir X. Koutsoukos 178 5 0 03 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 260 5 0 30 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu D. Yin Qing Li AI4CE 409 41 0 23 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 192 8 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 259 6 0 20 Apr 2024
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 435 34 0 17 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 185 4 0 15 Apr 2024
HOEG: A New Approach for Object-Centric Predictive Process Monitoring Tim K. Smit H. Reijers Xixi Lu 174 5 0 08 Apr 2024