Position-aware Graph Neural Networks

11 June 2019

Papers citing "Position-aware Graph Neural Networks"

50 / 245 papers shown

Title
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 202 1 0 29 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 31 0 0 08 Apr 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking Hannah Lawrence Vasco Portilheiro Yan Zhang Sékou-Oumar Kaba 55 3 0 27 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 78 5 0 13 Mar 2025
Joint Optimal Transport and Embedding for Network Alignment Qi Yu Zhichen Zeng Yuchen Yan Lei Ying R. Srikant Hanghang Tong OT 322 1 0 26 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks Charilaos I. Kanatsoulis Evelyn Choi Stephanie Jegelka Jure Leskovec Alejandro Ribeiro 70 2 0 03 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md Atik Ahamed Andrew Cheng Qiang Ye Q. Cheng GNN 60 0 0 01 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 57 0 0 17 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting Hao Wu Haomin Wen Guibin Zhang Yutong Xia Kai Wang Keli Zhang Yu Zheng Kun Wang 71 2 0 17 Jan 2025
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 62 5 0 29 Nov 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 41 0 0 28 Oct 2024
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction L. Zheng Chang Dong W. Zhang Xin Chen Lin Yue Weitong Chen 26 0 0 16 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification Bishal Thapaliya Anh Nguyen Yao Lu Tian Xie Igor Grudetskyi Fudong Lin Antonios Valkanas Jingyu Liu Deepayan Chakraborty Bilel Fehri 32 1 0 15 Oct 2024
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing Pengrui Quan Xiaomin Ouyang J. Jeyakumar Ziqi Wang Yang Xing Mani B. Srivastava 31 2 0 14 Oct 2024
A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 37 0 0 17 Sep 2024
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning Xinxu Wei Xi Lin Haiyun Liu Shixuan Zhao Yongjie Li 28 0 0 17 Sep 2024
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method Abhijeet Sahu Truc Nguyen Kejun Chen Xiangyu Zhang Malik Hassanaly 40 1 0 06 Sep 2024
SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation Jielin Chen R. Stouffs CoGe 43 0 0 25 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Sihang Li Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 45 4 0 18 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 39 19 0 13 Jun 2024
Generating Human Understandable Explanations for Node Embeddings Zohair Shafi Ayan Chatterjee Tina Eliassi-Rad 37 1 0 11 Jun 2024
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning Jeonghoon Kim Heesoo Jung Hyeju Jang Hogun Park LRM 17 1 0 11 Jun 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 58 0 0 31 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 42 0 0 06 May 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 42 2 0 21 Apr 2024
xLP: Explainable Link Prediction for Master Data Management Balaji Ganesan Matheen Ahmed Pasha Srinivas Parkala Neeraj R Singh Gayatri Mishra S. Bhatia Hima Patel Somashekar Naganna Sameep Mehta 23 1 0 14 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 63 1 0 10 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 32 0 0 07 Mar 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion Le Cheng Peican Zhu Keke Tang Chao Gao Zhen Wang 29 17 0 27 Feb 2024
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding Zhiqiang Zhong Davide Mottin 34 1 0 20 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 27 1 0 13 Feb 2024
Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis Xiaowei Zhao Yong Zhou Xiujuan Xu Yu Liu 24 0 0 12 Feb 2024
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs Florian Grötschla Joël Mathys Robert Veres Roger Wattenhofer 24 3 0 09 Feb 2024
Advanced Academic Team Worker Recommendation Models Mi Wu 31 0 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 73 13 0 07 Feb 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 69 28 0 03 Feb 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 26 13 0 31 Jan 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks Simi Job Xiaohui Tao Taotao Cai Lin Li Haoran Xie Jianming Yong CML 35 1 0 27 Jan 2024
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 22 16 0 14 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 21 2 0 10 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks Puja Trivedi Ryan A. Rossi David Arbour Tong Yu Franck Dernoncourt Sungchul Kim Nedim Lipka Namyong Park Nesreen K. Ahmed Danai Koutra DiffM 34 0 0 29 Nov 2023
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding Jiangyan Ma Yifei Wang Yisen Wang 41 13 0 28 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 30 12 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 29 0 0 23 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 21 1 0 11 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 35 19 0 08 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 40 8 0 04 Oct 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 17 3 0 16 Sep 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 36 19 0 21 Aug 2023