Rethinking Graph Transformers with Spectral Attention

7 June 2021

Papers citing "Rethinking Graph Transformers with Spectral Attention"

50 / 305 papers shown

Title
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification Jiaxing Xu Kai He Mengcheng Lan Qingtian Bian Wei Li Tieying Li Yiping Ke Miao Qiao MedIm 21 3 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 30 2 0 15 Sep 2024
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks Amirhossein Nouranizadeh Fatemeh Tabatabaei Far Mohammad Rahmati AI4TS 32 1 0 22 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 44 0 0 11 Aug 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 31 2 0 30 Jul 2024
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding Zhe Wang Sheng Zhou Jiawei Chen Zhen Zhang Binbin Hu Yan Feng Chun-Yen Chen Can Wang AI4TS 26 2 0 24 Jul 2024
GET-Zero: Graph Embodiment Transformer for Zero-shot Embodiment Generalization Austin Patel Shuran Song LM&Ro 29 3 0 20 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
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 42 2 0 17 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 45 1 0 16 Jul 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 33 0 0 13 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
Robust Generalization of Graph Neural Networks for Carrier Scheduling Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Dejan Kostić Magnus Boman Thiemo Voigt 20 0 0 11 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 55 2 0 03 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 40 0 0 03 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 49 1 0 02 Jul 2024
SE(3)-Hyena Operator for Scalable Equivariant Learning Artem Moskalev Mangal Prakash Rui Liao Tommaso Mansi 46 2 0 01 Jul 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 41 1 0 27 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 33 11 0 27 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 40 0 0 24 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 39 1 0 22 Jun 2024
A Primal-Dual Framework for Transformers and Neural Networks Tan M. Nguyen Tam Nguyen Nhat Ho Andrea L. Bertozzi Richard G. Baraniuk Stanley J. Osher ViT 21 13 0 19 Jun 2024
Elliptical Attention Stefan K. Nielsen Laziz U. Abdullaev R. Teo Tan M. Nguyen 23 3 0 19 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 58 8 0 18 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
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 37 16 0 13 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs Tom Wollschlager Niklas Kemper Leon Hetzel Johanna Sommer Stephan Günnemann 42 4 0 12 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model Antoine Siraudin Fragkiskos D. Malliaros Christopher Morris 34 3 0 10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 44 7 0 09 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 42 8 0 06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 32 2 0 05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio' Floor Eijkelboom 39 1 0 05 Jun 2024
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer Wanli Ma Xuegang Tang Jin Gu Ying Wang Yuling Xia 29 0 0 04 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 44 10 0 04 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Fan Xu Nan Wang Hao Wu Xuezhi Wen Dalin Zhang Siyang Lu Binyong Li Wei Gong Hai Wan Xibin Zhao 41 1 0 02 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 38 1 0 31 May 2024
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction Zhanbo Sun Caiyin Dong Ang Ji Ruibin Zhao Yu Zhao 45 0 0 30 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
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
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tonshoff Martin Ritzert Berke Kisin Martin Grohe 18 12 0 20 May 2024
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning Junfeng Chen Kailiang Wu 27 3 0 15 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
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 42 4 0 05 May 2024
FairGT: A Fairness-aware Graph Transformer Renqiang Luo Huafei Huang Shuo Yu Xiuzhen Zhang Feng Xia 32 9 0 26 Apr 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 33 4 0 24 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs) Wenqi Fan Shijie Wang Jiani Huang Zhikai Chen Yu Song ... Haitao Mao Hui Liu Xiaorui Liu Dawei Yin Qing Li AI4CE 28 23 0 23 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
Heterogeneous Subgraph Transformer for Fake News Detection Yuchen Zhang Xiaoxia Ma Jia Wu Jian Yang Hao Fan 32 12 0 19 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