Transformers Meet Directed Graphs

31 January 2023

Stephan Günnemann

Papers citing "Transformers Meet Directed Graphs"

32 / 32 papers shown

Title
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 29 0 0 02 May 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach Qian Zeng Xin Lin Jingyi Gao Yang Yu 65 0 0 09 Mar 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 31 0 0 24 Feb 2025
Biologically Plausible Brain Graph Transformer Ciyuan Peng Yuelong Huang Qichao Dong Shuo Yu Feng Xia Chengqi Zhang Yaochu Jin 59 1 0 13 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 55 0 0 03 Feb 2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 29 2 0 22 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 27 2 0 30 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 37 1 0 16 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 29 9 0 13 Jul 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 90 1 0 30 Jun 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 7 0 29 May 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 16 1 0 28 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 30 1 0 22 May 2024
Improving Chinese Character Representation with Formation Tree Yang Hong Yinfei Li Xiaojun Qiao Rui Li Junsong Zhang VLM 22 0 0 19 Apr 2024
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network Yilin Leng Wenju Cui Chen Bai Xi Jiang Shuangqing Chen Jian Zheng 21 0 0 20 Mar 2024
AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation Arkajit Datta Tushar Verma Rajat Chawla Mukunda N. S Ishaan Bhola LM&Ro 21 1 0 15 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Mingyu Yan Kun He Wei Yan Shirui Pan Xiaochun Ye Dongrui Fan AAML 20 2 0 10 Mar 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 24 10 0 22 Feb 2024
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 49 16 0 04 Dec 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs Christian Koke Daniel Cremers 31 8 0 03 Oct 2023
Naming Practices of Pre-Trained Models in Hugging Face Wenxin Jiang Chingwo Cheung Mingyu Kim Heesoo Kim George K. Thiruvathukal James C. Davis CVBM 10 6 0 02 Oct 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 15 56 0 17 May 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 25 139 0 11 Apr 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 44 84 0 08 Feb 2023
On the Connection Between MPNN and Graph Transformer Chen Cai Truong Son-Hy Rose Yu Yusu Wang 21 50 0 27 Jan 2023
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 35 16 0 24 Oct 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 166 1,095 0 27 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 Feb 2021
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 62 56 0 23 Mar 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 95 0 07 Feb 2020