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
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs K. Jeziorek Piotr Wzorek Krzysztof Blachut Andrea Pinna T. Kryjak GNN 32 4 0 11 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 48 0 0 11 Jun 2024
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation Alexandre Hayderi Amin Saberi Ellen Vitercik Anders Wikum 23 0 0 10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 44 7 0 09 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 26 6 0 05 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 48 10 0 04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 39 5 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 20 0 0 02 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 8 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 19 0 0 28 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 23 3 0 27 May 2024
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding Niloofar Azizi Mohsen Fayyaz Horst Bischof 29 0 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 37 1 0 24 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 49 1 0 22 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tonshoff Martin Ritzert Berke Kisin Martin Grohe 18 12 0 20 May 2024
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks Rongrong Ma Guansong Pang Ling-Hao Chen AI4CE 40 0 0 17 May 2024
Scalable Property Valuation Models via Graph-based Deep Learning Enrique Riveros Carla Vairetti Christian Wegmann Santiago Truffa Sebastián Maldonado GNN 24 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 30 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 34 8 0 07 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 42 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 30 2 0 03 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features Ryoma Sato 28 4 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 Dawei Yin Qing Li AI4CE 28 23 0 23 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 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 34 11 0 17 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 0 15 Apr 2024
HOEG: A New Approach for Object-Centric Predictive Process Monitoring Tim K. Smit H. Reijers Xixi Lu 19 2 0 08 Apr 2024
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering Azmine Toushik Wasi Taki Hasan Rafi Raima Islam Dong-Kyu Chae 18 6 0 04 Apr 2024
Generalization Bounds for Message Passing Networks on Mixture of Graphons Sohir Maskey Gitta Kutyniok Ron Levie 57 5 0 04 Apr 2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions Florian Frantzen Michael T. Schaub 97 0 0 04 Apr 2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU Zhongming Yu Genghan Zhang Hanxian Huang Xin Chen Jishen Zhao GNN 29 0 0 03 Apr 2024
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP Attila Lischka Jiaming Wu Rafael Basso M. Chehreghani Balázs Kulcsár 37 2 0 25 Mar 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 33 2 0 20 Mar 2024
Building Optimal Neural Architectures using Interpretable Knowledge Keith G. Mills Fred X. Han Mohammad Salameh Shengyao Lu Chunhua Zhou Jiao He Fengyu Sun Di Niu 23 1 0 20 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 70 1 0 19 Mar 2024
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami Harsh Parikh Haowei Chen Sudeepa Roy Babak Salimi OOD 25 1 0 17 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 30 0 0 13 Mar 2024
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations Harish Naik Jan Polster Raj Shekhar Tamás L. Horváth Gyorgy Turán 26 3 0 12 Mar 2024
Are Targeted Messages More Effective? Martin Grohe Eran Rosenbluth 16 3 0 11 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Mingyu Yan Kun He Wei Yan Shirui Pan Xiaochun Ye Dongrui Fan AAML 25 2 0 10 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 63 1 0 10 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 40 12 0 08 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter G. Klambauer Andreas Mayr 28 4 0 07 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 32 0 0 07 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 65 2 0 06 Mar 2024
A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics Emanuel Pfeffer M. Wassmer Yee-Ying Cung R. Wolf U. Husemann 16 1 0 27 Feb 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 31 3 0 26 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series Forecasting Zijie Pan Yushan Jiang Dongjin Song Sahil Garg Kashif Rasul Anderson Schneider Yuriy Nevmyvaka CLL AI4TS 32 3 0 20 Feb 2024