A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

50 / 425 papers shown

Title
Multi-conditioned Graph Diffusion for Neural Architecture Search Rohan Asthana Joschua Conrad Youssef Dawoud M. Ortmanns Vasileios Belagiannis GNN AI4CE 39 5 0 09 Mar 2024
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology K. Dharma Clayton T. Morrison 38 0 0 07 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 39 5 0 03 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 49 0 0 02 Mar 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling Mahdi Karami Ali Ghodsi VLM 48 6 0 28 Feb 2024
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning Junyu Luo Xiaochen Wang Jiaqi Wang Aofei Chang Yaqing Wang Fenglong Ma 30 7 0 24 Feb 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 39 10 0 22 Feb 2024
Cell Graph Transformer for Nuclei Classification Wei Lou Guanbin Li Xiang Wan Haofeng Li ViT MedIm 55 4 0 20 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 62 26 0 14 Feb 2024
LLaGA: Large Language and Graph Assistant Runjin Chen Tong Zhao Ajay Jaiswal Neil Shah Zhangyang Wang 23 55 0 13 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 21 6 0 11 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 51 7 0 08 Feb 2024
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (GOAT) for Whole Slide Histopathology Image Analysis Mingxin Liu Yunzan Liu Pengbo Xu Jiquan Ma MedIm ViT 11 3 0 08 Feb 2024
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior Chenguo Lin Yadong Mu 3DV 22 32 0 07 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang Carola-Bibiane Schönlieb Angelica E. Avilés-Rivero 46 6 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
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization Mahdi Biparva Raika Karimi Faezeh Faez Yingxue Zhang 40 3 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 86 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
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies Gang Qu Anton Orlichenko Junqi Wang Gemeng Zhang Li Xiao Aiying Zhang Zhengming Ding Yu-Ping Wang 29 0 0 18 Jan 2024
Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation T. Hoang T. Pham Viet-Cuong Ta GNN 20 3 0 12 Jan 2024
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph Jinhao Jiang Kun Zhou Wayne Xin Zhao Yaliang Li Ji-Rong Wen LRM 21 22 0 30 Dec 2023
Classifier-free graph diffusion for molecular property targeting Matteo Ninniri Marco Podda Davide Bacciu 40 5 0 28 Dec 2023
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 22 6 0 28 Dec 2023
Graph Neural Networks for Antisocial Behavior Detection on Twitter Martina Toshevska S. Kalajdziski Sonja Gievska 24 0 0 28 Dec 2023
A Theory of Non-Acyclic Generative Flow Networks Leo Maxime Brunswic Yinchuan Li Yushun Xu Shangling Jui Lizhuang Ma 29 3 0 23 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu Jeongwhan Choi Woojin Cho Kookjin Lee Nayong Kim ... Ilho Kim Seok-Woo Lee Joon Young Yang S. Yoon Noseong Park AI4CE 20 7 0 19 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
Degree-based stratification of nodes in Graph Neural Networks Ameen Ali Hakan Çevikalp Lior Wolf 38 0 0 16 Dec 2023
Efficient and Scalable Graph Generation through Iterative Local Expansion Andreas Bergmeister Karolis Martinkus Nathanael Perraudin Roger Wattenhofer 25 12 0 14 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
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers Byung-Hoon Kim Jungwon Choi Eunggu Yun Kyungsang Kim Xiang Li Juho Lee AI4CE 25 2 0 04 Dec 2023
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining Jingcong Liang Rong Ye Meng Han Qi Zhang Ruofei Lai Xinyu Zhang Bo Zhao Xuanjing Huang Zhongyu Wei 34 2 0 01 Dec 2023
Hypergraph Node Representation Learning with One-Stage Message Passing Shilin Qu Weiqing Wang Yuanxin Li Xin Zhou Fajie Yuan 43 1 0 01 Dec 2023
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks Chen Li Alexander Kies Kai Zhou Markus Schlott O. Sayed Mariia Bilousova Horst Stoecker 19 4 0 23 Nov 2023
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis Honglin Li Yunlong Zhang Chenglu Zhu Jiatong Cai Sunyi Zheng Lin Yang VLM 35 4 0 21 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 47 12 0 13 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 32 0 0 08 Nov 2023
HKTGNN: Hierarchical Knowledge Transferable Graph Neural Network-based Supply Chain Risk Assessment Zhanting Zhou Kejun Bi Yuyanzhen Zhong Chao Tang Dongfen Li Shi Ying Ruijin Wang 29 0 0 07 Nov 2023
Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data Bishal Thapaliya Esra Akbas Jiayu Chen Ram Sapkota Bhaskar Ray Pranav Suresh Vince D. Calhoun Jingyu Liu 35 12 0 06 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 42 4 0 31 Oct 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 41 15 0 28 Oct 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 36 13 0 28 Oct 2023
Graph Agent: Explicit Reasoning Agent for Graphs Qinyong Wang Zhenxiang Gao Rong Xu AI4CE 23 5 0 25 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 42 7 0 20 Oct 2023
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction Xusheng Zhao Hao Liu Qiong Dai Hao Peng Xu Bai Huailiang Peng 17 2 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Rethinking Relation Classification with Graph Meaning Representations Li Zhou Wenyu Chen DingYi Zeng Hong Qu Daniel Hershcovich AI4CE 25 0 0 15 Oct 2023