Recipe for a General, Powerful, Scalable Graph Transformer

25 May 2022

Ladislav Rampášek

Mikhail Galkin

Vijay Prakash Dwivedi

A. Luu

Guy Wolf

Dominique Beaini

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Papers citing "Recipe for a General, Powerful, Scalable Graph Transformer"

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Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 22 0 0 04 May 2025
GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model Haoyan Xu Zhengtao Yao X. Zhang Z. Wang Langzhou He Yushun Dong Philip S. Yu Mengyuan Li Y. Zhao OODD VLM 58 0 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 71 1 0 29 Apr 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer Z. Li J. Q. Shi X. Zhang Miao Zhang B. Li 44 0 0 29 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 29 0 0 28 Apr 2025
Multimodal graph representation learning for website generation based on visual sketch Tung D. Vu Chung Hoang Truong-Son Hy 3DV 44 0 0 25 Apr 2025
Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection Haokai Zhang Shengtao Zhang Zijian Cai Heng Wang Ruixuan Zhu Zinan Zeng Minnan Luo 46 0 0 24 Apr 2025
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation Aoran Liu Kun Hu Clinton Mo C. Li Zhiyong Wang 3DH AI4CE 26 0 0 16 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 51 0 0 03 Apr 2025
Graph Attention for Heterogeneous Graphs with Positional Encoding Nikhil Shivakumar Nayak GNN 56 0 0 03 Apr 2025
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning Gongzhu Yin H. Zhang Yuchen Yang Y. Luo LRM 73 0 0 26 Mar 2025
On the Limits of Applying Graph Transformers for Brain Connectome Classification Jose Lara-Rangel Clare Heinbaugh 46 0 0 20 Mar 2025
Learning Privacy from Visual Entities Alessio Xompero Andrea Cavallaro SSL GNN 59 0 0 16 Mar 2025
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery Yiheng Zhu Mingyang Li Junlong Liu Kun Fu J. Wu Q. Li Mingze Yin Jieping Ye Jian Wu Z. Wang 52 0 0 06 Mar 2025
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers Gilad Yehudai Clayton Sanford Maya Bechler-Speicher Orr Fischer Ran Gilad-Bachrach Amir Globerson 43 0 0 03 Mar 2025
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks Jingchu Gai Yiheng Du Bohang Zhang Haggai Maron Liwei Wang 36 0 0 01 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing Lukas Fesser Melanie Weber 28 0 0 01 Mar 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 68 0 0 25 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 41 4 0 23 Feb 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 38 0 0 22 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 94 2 0 21 Feb 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo Alessio Gravina Benjamin Gutteridge Federico Barbero Claudio Gallicchio Xiaowen Dong Michael M. Bronstein P. Vandergheynst 26 2 0 15 Feb 2025
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 60 0 0 13 Feb 2025
Simple Path Structural Encoding for Graph Transformers Louis Airale Antonio Longa Mattia Rigon Andrea Passerini Roberto Passerone 90 0 0 13 Feb 2025
Enhancing the Utility of Higher-Order Information in Relational Learning Raphael Pellegrin Lukas Fesser Melanie Weber 86 0 0 13 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 53 0 0 12 Feb 2025
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling Markus Krimmel Jenna Wiens Karsten M. Borgwardt Dexiong Chen 86 0 0 04 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally X. Wang Muhan Zhang 97 0 0 04 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning Yang Li LRM 45 0 0 04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 53 0 0 03 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 69 2 0 02 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md. Atik Ahamed Andrew Cheng Q. Ye Q. Cheng GNN 51 0 0 01 Feb 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 55 1 0 17 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 36 2 0 08 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 28 0 0 06 Jan 2025
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks Shengming Zhang Le Zhang Jingbo Zhou Hui Xiong 31 0 0 06 Jan 2025
LASE: Learned Adjacency Spectral Embeddings Sofía Pérez Casulo Marcelo Fiori Federico Larroca Gonzalo Mateos AI4TS GNN 28 0 0 23 Dec 2024
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs Fabrizio Frasca Fabian Jogl Moshe Eliasof Matan Ostrovsky Carola-Bibiane Schönlieb Thomas Gärtner Haggai Maron AI4CE 21 2 0 23 Dec 2024
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li Dungy Liu Dawei Cheng Changchun Jiang AAML 34 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 43 0 0 23 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 84 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 61 0 0 10 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 56 0 0 26 Nov 2024
Edge Weight Prediction For Category-Agnostic Pose Estimation Or Hirschorn S. Avidan 69 0 0 25 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 80 3 0 25 Nov 2024
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs Jiahui Liu Zhenkun Cai Zhiyong Chen Minjie Wang GNN 54 0 0 25 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 74 2 0 23 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad Honghao Lin A. Velingker B. Venkatachalam David P. Woodruff Danica J. Sutherland 67 1 0 20 Nov 2024
Stealing Training Graphs from Graph Neural Networks M. Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 28 1 0 17 Nov 2024