A Generalization of ViT/MLP-Mixer to Graphs

27 December 2022

Bryan Hooi

Papers citing "A Generalization of ViT/MLP-Mixer to Graphs"

50 / 63 papers shown

Title
Fairness in Graph Learning Augmented with Machine Learning: A Survey Renqiang Luo Ziqi Xu X. Zhang Qing Qing Huafei Huang Enyan Dai Z. Wang Bo Yang FaML 52 0 0 30 Apr 2025
Simplifying Graph Transformers Liheng Ma Soumyasundar Pal Yingxue Zhang Philip H. S. Torr Mark J. Coates 26 0 0 17 Apr 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
Simple Path Structural Encoding for Graph Transformers Louis Airale Antonio Longa Mattia Rigon Andrea Passerini Roberto Passerone 90 0 0 13 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
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
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
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
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
From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis K. Bougiatiotis G. Paliouras 27 0 0 17 Nov 2024
A Recipe for Geometry-Aware 3D Mesh Transformers Mohammad Farazi Yalin Wang 41 0 0 31 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 11 1 0 09 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 25 1 0 07 Oct 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice Viet Anh Nguyen Nhat-Khang Ngô Truong Son-Hy AI4CE 17 0 0 27 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 11 0 0 09 Sep 2024
SAMSA: Efficient Transformer for Many Data Modalities Minh Lenhat Viet Anh Nguyen Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 33 0 0 10 Aug 2024
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions Christian Nauck R. Gorantla M. Lindner Konstantin Schurholt Antonia S. J. S. Mey Frank Hellmann AI4CE 22 2 0 17 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N. Lell A. Scherp GNN 27 0 0 16 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 26 9 0 13 Jul 2024
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 32 1 0 17 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschlager Niklas Kemper Leon Hetzel Johanna Sommer Stephan Günnemann 37 0 0 12 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 33 1 0 31 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 37 7 0 29 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 28 1 0 27 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 34 1 0 24 May 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model Zhenyu Pan Yoonsung Jeong Xiaoda Liu Han Liu 19 1 0 22 May 2024
Advancing Graph Convolutional Networks via General Spectral Wavelets Nian Liu Xiaoxin He T. Laurent Francesco Di Giovanni Michael M. Bronstein Xavier Bresson 27 1 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 41 1 0 22 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 25 4 0 05 May 2024
FairGT: A Fairness-aware Graph Transformer Renqiang Luo Huafei Huang Shuo Yu Xiuzhen Zhang Feng Xia 27 8 0 26 Apr 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer Xiaoyan Kui Haonan Yan Qinsong Li Liming Chen Beiji Zou 17 0 0 25 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 83 57 0 13 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization Mahdi Biparva Raika Karimi Faezeh Faez Yingxue Zhang 20 2 0 02 Feb 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 16 0 0 18 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 16 4 0 07 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 37 6 0 27 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 17 3 0 07 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 41 16 0 04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 13 6 0 03 Dec 2023
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications Sahar Almahfouz Nasser Shashwat Pathak Keshav Singhal Mohit Meena N. Gupte Ananya Chinmaya Prateek Garg Amit Sethi MedIm 14 0 0 30 Nov 2023
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation Yuyang Wang Ahmed A. A. Elhag Navdeep Jaitly J. Susskind Miguel Angel Bautista DiffM 19 19 0 27 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 39 11 0 13 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 22 0 0 08 Nov 2023
Non-backtracking Graph Neural Networks Seonghyun Park Narae Ryu Ga-Rin Kim Dongyeop Woo Se-Young Yun Sungsoo Ahn 17 4 0 11 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 20 11 0 03 Oct 2023
Cooperative Graph Neural Networks Ben Finkelshtein Xingyue Huang Michael M. Bronstein .Ismail .Ilkan Ceylan GNN 14 19 0 02 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 39 3 0 27 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark Jan Tonshoff Martin Ritzert Eran Rosenbluth Martin Grohe 19 29 0 01 Sep 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 15 4 0 22 Aug 2023