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
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 29 0 0 13 May 2025
Repetition Makes Perfect: Recurrent Sum-GNNs Match Message Passing Limit Eran Rosenbluth Martin Grohe 19 0 0 01 May 2025
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians Liam Schoneveld Zhe Chen Davide Davoli Jiapeng Tang Saimon Terazawa Ko Nishino Matthias Nießner 3DH 3DGS 55 0 0 16 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 46 0 0 15 Apr 2025
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach Kien X. Nguyen Bao Bach Ilya Safro 23 0 0 14 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 43 0 0 31 Mar 2025
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding Suchanuch Piriyasatit Chaohao Yuan Ercan Engin Kuruoglu 58 0 0 16 Mar 2025
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks Attila Lischka Simon Rauch Oliver Stritzel GNN 60 0 0 05 Mar 2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization Qiyi Wang Yinning Shao Yunlong Ma Min Liu OOD 77 0 0 04 Mar 2025
Quality Measures for Dynamic Graph Generative Models Ryien Hosseini F. Simini V. Vishwanath Rebecca Willett Henry Hoffmann EGVM 34 0 0 03 Mar 2025
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai Yiheng Du Bohang Zhang Haggai Maron Liwei Wang 43 0 0 01 Mar 2025
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs Yucheng Zhang Beatrice Bevilacqua Mikhail Galkin Bruno Ribeiro 63 2 0 26 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 43 0 0 22 Feb 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? X. Wang Y. Liu Lexi Pang Siwei Chen Muhan Zhang DiffM 171 0 0 04 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
Score-based 3D molecule generation with neural fields Matthieu Kirchmeyer Pedro H. O. Pinheiro Saeed Saremi DiffM 45 0 0 15 Jan 2025
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks Sree Bhattacharyya Shuhua Yang James Z. Wang 38 0 0 13 Jan 2025
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Joshua Southern Yam Eitan Guy Bar-Shalom Michael M. Bronstein Haggai Maron Fabrizio Frasca 33 0 0 06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 62 2 0 03 Jan 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 62 4 0 31 Dec 2024
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 33 0 0 23 Dec 2024
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Jaesun Shin Eunjoo Jeon Taewon Cho Namkyeong Cho Youngjune Gwon 36 0 0 23 Dec 2024
BrainMAP: Learning Multiple Activation Pathways in Brain Networks Song Wang Zhenyu Lei Zhen Tan Jiaqi Ding Xinyu Zhao ... Guorong Wu Tianlong Chen Chen Chen Aiying Zhang Jundong Li 53 0 0 23 Dec 2024
Effective Context Modeling Framework for Emotion Recognition in Conversations Cuong Tran Van Thanh V. T. Tran V. Nguyen Truong Son-Hy 73 0 0 21 Dec 2024
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Zehong Wang Zheyuan Zhang Tianyi Ma Nitesh V. Chawla Chuxu Zhang Yanfang Ye AI4CE 79 0 0 21 Dec 2024
Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture Malay Pandey Vaishali Jain Nimit Godhani Sachchida Nand Tripathi Piyush Rai DiffM AI4TS AI4CE 72 0 0 18 Dec 2024
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 94 0 0 10 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings Billy Joe Franks Moshe Eliasof Semih Cantürk Guy Wolf Carola-Bibiane Schönlieb Sophie Fellenz Marius Kloft AI4CE 76 0 0 10 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction João Mattos Zexi Huang Mert Kosan Ambuj Singh A. Silva 69 1 0 29 Nov 2024
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations H. Çağrı Bilgi Lydia Y. Chen Kubilay Atasu 81 1 0 29 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu S. M. I. Simon X. Yang 80 2 0 26 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 81 2 0 23 Nov 2024
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliers Ruiyu Li Peilin Zhao Guangxia Li Zhiqiang Xu Xuewei Li 24 0 0 09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh V. Chawla Chuxu Zhang Yanfang Ye 41 9 0 09 Nov 2024
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 118 1 0 06 Nov 2024
On the Utilization of Unique Node Identifiers in Graph Neural Networks Maya Bechler-Speicher Moshe Eliasof Carola-Bibiane Schönlieb Ran Gilad-Bachrach Amir Globerson 35 0 0 04 Nov 2024
A General Recipe for Contractive Graph Neural Networks -- Technical Report Maya Bechler-Speicher Moshe Eliasof 32 0 0 04 Nov 2024
WLPlan: Relational Features for Symbolic Planning Dillon Z. Chen 50 0 0 01 Nov 2024
Homomorphism Counts as Structural Encodings for Graph Learning Linus Bao Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 30 1 0 24 Oct 2024
Theoretical Insights into Line Graph Transformation on Graph Learning Fan Yang Xingyue Huang 34 0 0 21 Oct 2024
DST-TransitNet: A Dynamic Spatio-Temporal Deep Learning Model for Scalable and Efficient Network-Wide Prediction of Station-Level Transit Ridership Jiahao Wang Amer Shalaby AI4TS 24 1 0 19 Oct 2024
Towards Bridging Generalization and Expressivity of Graph Neural Networks Shouheng Li Floris Geerts Dongwoo Kim Qing Wang 28 1 0 14 Oct 2024
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 37 0 0 13 Oct 2024
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis Zhifei Li Gerrit Großmann V. Wolf 29 0 0 11 Oct 2024
A note on the VC dimension of 1-dimensional GNNs Noah Daniëls Floris Geerts 32 0 0 10 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 40 1 0 09 Oct 2024
Fine-Grained Expressive Power of Weisfeiler-Leman: A Homomorphism Counting Perspective Junru Zhou Muhan Zhang 26 0 0 04 Oct 2024
Linear Transformer Topological Masking with Graph Random Features Isaac Reid Kumar Avinava Dubey Deepali Jain Will Whitney Amr Ahmed ... Connor Schenck Richard E. Turner René Wagner Adrian Weller Krzysztof Choromanski 22 1 0 04 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 38 0 0 04 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 29 1 0 03 Oct 2024