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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GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 33 5 0 20 Apr 2024
Heterogeneous Subgraph Transformer for Fake News Detection Yuchen Zhang Xiaoxia Ma Jia Wu Jian Yang Hao Fan 35 12 0 19 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 42 13 0 17 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 0 15 Apr 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi Han van der Aa Heiner Stuckenschmidt AI4TS 37 3 0 09 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 41 7 0 04 Apr 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing Zhenyu Qian Yiming Qian Yuting Song Fei Gao Hai Jin Chen Yu Xia Xie 43 0 0 31 Mar 2024
DE-HNN: An effective neural model for Circuit Netlist representation Zhishang Luo Truong-Son Hy Puoya Tabaghi Donghyeon Koh Michael Defferrard Elahe Rezaei Ryan Carey William Rhett Davis Rajeev Jain Yusu Wang 21 5 0 30 Mar 2024
Topological Cycle Graph Attention Network for Brain Functional Connectivity Jinghan Huang Nanguang Chen Anqi Qiu 21 0 0 28 Mar 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification Zhan Shi Jingwei Zhang Jun Kong Fusheng Wang MedIm 42 3 0 26 Mar 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer Xiaoyan Kui Haonan Yan Qinsong Li Liming Chen Beiji Zou 38 0 0 25 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 42 19 0 24 Mar 2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian Ning Cao Gregory O'Hared 43 1 0 21 Mar 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer Dongyeong Hwang Hyunju Kim Sunwoo Kim Kijung Shin AI4CE 56 2 0 19 Mar 2024
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model Lincan Li Hanchen Wang Wenjie Zhang A. Coster Mamba 31 10 0 19 Mar 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 40 0 0 11 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 71 2 0 06 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 96 23 0 02 Mar 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 31 0 0 26 Feb 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 39 10 0 22 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 112 59 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 35 6 0 13 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 29 0 0 09 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs Florian Grötschla Joël Mathys Robert Veres Roger Wattenhofer 24 3 0 09 Feb 2024
Guided Evolution with Binary Discriminators for ML Program Search John D. Co-Reyes Yingjie Miao George Tucker Aleksandra Faust Esteban Real 42 0 0 08 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 36 6 0 07 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 23 8 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 36 3 0 03 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization Mahdi Biparva Raika Karimi Faezeh Faez Yingxue Zhang 40 3 0 02 Feb 2024
LINGO-Space: Language-Conditioned Incremental Grounding for Space Dohyun Kim Nayoung Oh Deokmin Hwang Daehyung Park 33 6 0 02 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang Oleksii Tsepa Jun Ma Bo Wang Mamba 30 87 0 01 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 27 0 0 31 Jan 2024
A Survey on Structure-Preserving Graph Transformers Van Thuy Hoang O-Joun Lee 51 5 0 29 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 46 2 0 26 Jan 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 33 3 0 18 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer Hui Lin Zhiheng Ma Xiaopeng Hong Qinnan Shangguan Deyu Meng ViT 47 17 0 08 Jan 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks Puja Trivedi Mark Heimann Rushil Anirudh Danai Koutra Jayaraman J. Thiagarajan UQCV 29 4 0 07 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 22 6 0 28 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 60 7 0 27 Dec 2023
Molecular Hypergraph Neural Networks Junwu Chen Philippe Schwaller GNN 47 10 0 20 Dec 2023
Stronger Graph Transformer with Regularized Attention Scores Eugene Ku 29 1 0 18 Dec 2023
Hypergraph Transformer for Semi-Supervised Classification Zexi Liu Bohan Tang Ziyuan Ye Xiaowen Dong Siheng Chen Yanfeng Wang 39 4 0 18 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 29 8 0 18 Dec 2023
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 34 2 0 12 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 19 2 0 10 Dec 2023