Global Self-Attention as a Replacement for Graph Convolution

7 August 2021

Papers citing "Global Self-Attention as a Replacement for Graph Convolution"

50 / 80 papers shown

Title
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 36 0 0 28 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 Modular Energy Aware Framework for Multicopter Modeling in Control and Planning Applications Sebastian Gasche Christian Kallies Andreas Himmel R. Findeisen 36 0 0 04 Apr 2025
On the Limits of Applying Graph Transformers for Brain Connectome Classification Jose Lara-Rangel Clare Heinbaugh 53 0 0 20 Mar 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 55 4 0 23 Feb 2025
Simple Path Structural Encoding for Graph Transformers Louis Airale Antonio Longa Mattia Rigon Andrea Passerini Roberto Passerone 92 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 72 0 0 13 Feb 2025
An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem Mingzhao Wang You Zhou Zhiguang Cao Yubin Xiao Xuan Wu Wei Pang Yuan Jiang Hui Yang Peng Zhao Yuanshu Li MedIm 37 1 0 23 Jan 2025
Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning Qi Li Zhiguang Cao Yining Ma Yaoxin Wu Yue-jiao Gong 53 0 0 03 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
A Context-Enhanced Framework for Sequential Graph Reasoning Shuo Shi Chao Peng Chenyang Xu Zhengfeng Yang 113 0 0 12 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning Haitz Sáez de Ocáriz Borde Artem Lukoianov Anastasis Kratsios Michael M. Bronstein Xiaowen Dong GNN 38 1 0 29 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
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes Ziquan Wei Tingting Dan Jiaqi Ding Guorong Wu MedIm 40 0 0 26 Sep 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 31 2 0 30 Jul 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 39 2 0 19 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 34 9 0 13 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 40 0 0 03 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 24 1 0 30 Jun 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 41 0 0 25 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 38 5 0 24 Jun 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 42 1 0 17 Jun 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding Hongkang Li Meng Wang Tengfei Ma Sijia Liu Zaixi Zhang Pin-Yu Chen MLT AI4CE 47 10 0 04 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 38 1 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 31 2 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 8 0 29 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 38 3 0 27 May 2024
Attending to Topological Spaces: The Cellular Transformer Rubén Ballester Pablo Hernández-García Mathilde Papillon Claudio Battiloro Nina Miolane Tolga Birdal Carles Casacuberta Sergio Escalera Mustafa Hajij 35 3 0 23 May 2024
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition Nian Liu Xiaoxin He T. Laurent Francesco Di Giovanni Michael M. Bronstein Xavier Bresson 40 1 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 51 1 0 22 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 40 0 0 06 May 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 36 4 0 24 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
Improving Chinese Character Representation with Formation Tree Yang Hong Yinfei Li Xiaojun Qiao Rui Li Junsong Zhang VLM 27 1 0 19 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 0 15 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 34 7 0 04 Apr 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer Dongyeong Hwang Hyunju Kim Sunwoo Kim Kijung Shin AI4CE 53 2 0 19 Mar 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning Ulrik Friis-Jensen Frederik L. Johansen A. Anker Erik B. Dam Kirsten M. Ø. Jensen Raghavendra Selvan AI4CE 34 3 0 20 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 109 58 0 13 Feb 2024
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey Taojie Kuang Pengfei Liu Zhixiang Ren AI4CE 47 1 0 11 Feb 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs Florian Grötschla Joël Mathys Robert Veres Roger Wattenhofer 16 3 0 09 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 28 5 0 07 Feb 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 26 3 0 03 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 19 0 0 31 Jan 2024
A Survey on Structure-Preserving Graph Transformers Van Thuy Hoang O-Joun Lee 49 5 0 29 Jan 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 30 3 0 18 Jan 2024
Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits Qi Xu Lijie Wang Jing Wang Lin Cheng Song Chen Yi Kang 14 2 0 22 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Jia Wu Wenbin Hu Bo Du 34 6 0 09 Dec 2023