Graph Transformer Networks

6 November 2019

Papers citing "Graph Transformer Networks"

50 / 401 papers shown

Title
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen Shuo Wang Zhao Kang 25 2 0 25 Sep 2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics Paul Garnier J. Viquerat E. Hachem AI4CE 19 0 0 18 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
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 27 1 0 13 Sep 2024
Heterogeneous Sheaf Neural Networks Luke Braithwaite Iulia Duta Pietro Liò 25 1 0 12 Sep 2024
LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs Siqing Li Jin-Duk Park Wei Huang Xin Cao Won-Yong Shin Zhiqiang Xu 30 0 0 10 Sep 2024
A Modern Take on Visual Relationship Reasoning for Grasp Planning Paolo Rabino Tatiana Tommasi 33 1 0 03 Sep 2024
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases Yannis Chronis Yawen Wang Yu Gan Sami Abu-El-Haija Chelsea Lin Carsten Binnig Fatma Ozcan 34 2 0 28 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 28 7 0 25 Aug 2024
Hologram Reasoning for Solving Algebra Problems with Geometry Diagrams Litian Huang Xinguo Yu Feng Xiong Bin He Shengbing Tang Jiawen Fu 18 1 0 20 Aug 2024
Linear Attention is Enough in Spatial-Temporal Forecasting Xinyu Ning AI4TS 40 0 0 17 Aug 2024
Multi-task Heterogeneous Graph Learning on Electronic Health Records Tsai Hor Chan Guosheng Yin Kyongtae Bae Lequan Yu CML 30 4 0 14 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
SAMSA: Efficient Transformer for Many Data Modalities Minh Lenhat Viet Anh Nguyen Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 49 0 0 10 Aug 2024
Deep Generative Models for Subgraph Prediction Erfaneh Mahmoudzadeh Parmis Naddaf Kiarash Zahirnia Oliver Schulte BDL GNN 28 0 0 07 Aug 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning Qiuyu Zhu Liang Zhang Qianxiong Xu Kaijun Liu Cheng Long Xiaoyang Wang 35 0 0 18 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
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks Yezi Liu Yanning Shen DD 37 5 0 10 Jul 2024
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation Chenxin Li Xinyu Liu Cheng Wang Yifan Liu Weihao Yu Jing Shao Yixuan Yuan 40 13 0 08 Jul 2024
Heterogeneous Graph Contrastive Learning with Spectral Augmentation Jing Zhang Xiaoqian Jiang Yingjie Xie Cangqi Zhou 31 0 0 30 Jun 2024
Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba Yuchen Zou Yineng Chen Zuchao Li Lefei Zhang Hai Zhao 49 1 0 24 Jun 2024
Inferring Pluggable Types with Machine Learning Kazi Amanul Islam Siddiqui Martin Kellogg 23 1 0 21 Jun 2024
Geometric-informed GFlowNets for Structure-Based Drug Design Grayson Lee Tony Shen Martin Ester 29 0 0 16 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li Zixing Gou Xiangnan Zhang Zhongyuan Liu Sirui Li Yuntong Hu Chen Ling Zheng Zhang Liang Zhao 34 6 0 14 Jun 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 38 1 0 10 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 34 0 0 07 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 40 0 0 03 Jun 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets Michal Koziarski Andrei Rekesh Dmytro Shevchuk A. V. D. Sloot Piotr Gaiñski Yoshua Bengio Cheng-Hao Liu Mike Tyers Robert A. Batey 40 13 0 01 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 30 5 0 31 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 39 0 0 28 May 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 24 1 0 28 May 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model Zhenyu Pan Yoonsung Jeong Xiaoda Liu Han Liu 34 1 0 22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 32 3 0 22 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
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping Junfeng Cheng Tania Stathaki 21 1 0 10 May 2024
A Survey of Large Language Models for Graphs Xubin Ren Jiabin Tang Dawei Yin Nitesh V. Chawla Chao Huang 30 31 0 10 May 2024
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning Yili Wang 36 1 0 10 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 42 8 0 03 May 2024
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints M. Cretu Charles Harris Julien Roy Emmanuel Bengio Pietro Lió Bruno Correia Julien Roy Emmanuel Bengio Pietro Liò 32 1 0 02 May 2024
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations Kaiqiao Han Yi Yang Zijie Huang Xuan Kan Yang Yang ... Lifang He Liang Zhan Yizhou Sun Wei Wang Carl Yang 34 1 0 30 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
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 34 11 0 17 Apr 2024
AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer Jinhui Yuan Shan Lu Peibo Duan Jieyue He 35 1 0 16 Apr 2024
Hyperbolic Heterogeneous Graph Attention Networks Jongmin Park Seunghoon Han Soohwan Jeong Sungsu Lim 33 3 0 15 Apr 2024
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls Amin Hosseiny Marani Ulie Schnaithmann Youngseo Son Akil Iyer Manas Paldhe Arushi Raghuvanshi 19 0 0 11 Apr 2024
Manufacturing Service Capability Prediction with Graph Neural Networks Yunqing Li Xiaorui Liu B. Starly 19 5 0 25 Mar 2024
SSHPool: The Separated Subgraph-based Hierarchical Pooling Zhuo Xu Lixin Cui Yue Wang Hangyuan Du Lu Bai Edwin R. Hancock 26 1 0 24 Mar 2024
Adversary-Robust Graph-Based Learning of WSIs Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD AAML 27 0 0 21 Mar 2024
Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation Leyuan Sun Asako Kanezaki Guillaume Caron Yusuke Yoshiyasu LM&Ro 21 2 0 21 Mar 2024