A Generalization of Transformer Networks to Graphs

17 December 2020

Papers citing "A Generalization of Transformer Networks to Graphs"

31 / 31 papers shown

Title
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking Alireza Sadeghi F. Hajati A. Argha Nigel H Lovell Min Yang Hamid Alinejad-Rokny 16 0 0 03 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 15 0 0 02 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 71 1 0 29 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information Yonghui Zhai Yang Zhang Minghao Shang Lihua Pang Yaxin Ren 29 0 0 28 Apr 2025
GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models Justin Mücke A. Scherp 34 0 0 26 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation Prachi Garg Joseph K J V. Balasubramanian Necati Cihan Camgöz Chengde Wan Kenrick Kin Weiguang Si Shugao Ma Fernando De la Torre 51 0 0 25 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 43 0 0 03 Apr 2025
Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System Jacky Hao Jiang Jerry Cai Anastasios Kyrillidis 50 0 0 12 Mar 2025
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services Zhao Li Yang Liu Chuan Zhou Xuanwu Liu Xuming Pan Buqing Cao Xindong Wu 55 0 0 17 Feb 2025
Sentient: Multi-Scenario Behavioral Intent Analysis for Advanced Persistent Threat Detection Wenhao Yan Ning An Wei Qiao Weiheng Wu Bo-Sian Jiang Yuling Liu Zhigang Lu JunRong Liu 52 0 0 10 Feb 2025
Policy Guided Tree Search for Enhanced LLM Reasoning Yang Li LRM 43 0 0 04 Feb 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 36 1 0 23 Jan 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction Jing Chen Haocheng Ye Zhian Ying Yuntao Sun Wenqiang Xu AI4TS 26 5 0 18 Jan 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition Yanjie Cui Xiaohong Liu Jing Liang Yamin Fu 47 1 0 17 Jan 2025
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity Bishal Thapaliya Esra Akbas Ram Sapkota Bhaskar Ray Vince D. Calhoun Jingyu Liu 37 1 0 17 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective Xiaotang Wang Yun Zhu Haizhou Shi Yongchao Liu Chuntao Hong 50 1 0 03 Jan 2025
Graph Linearization Methods for Reasoning on Graphs with Large Language Models Christos Xypolopoulos Guokan Shang Xiao Fei Giannis Nikolentzos Hadi Abdine Iakovos Evdaimon Michail Chatzianastasis Giorgos Stamou Michalis Vazirgiannis 12 1 0 25 Oct 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 23 0 0 13 Aug 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 31 0 0 11 Jun 2024
Steerable Transformers Soumyabrata Kundu Risi Kondor ViT LLMSV 17 1 0 24 May 2024
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 26 6 0 10 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 31 3 0 27 Sep 2023
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Wentai Zhang Joe Joseph Yueyan Yin Liuyue Xie T. Furuhata Soji Yamakawa Kenji Shimada L. Kara 14 11 0 01 Dec 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 62 37 0 30 May 2022
Scene Graph Expansion for Semantics-Guided Image Outpainting Chiao-An Yang C. Tan Wanshu Fan Cheng Yang Meng-Lin Wu Yu-Chiang Frank Wang 30 17 0 05 May 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 16 258 0 21 Jan 2022
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 173 78 0 12 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 177 665 0 03 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 217 1,726 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016