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On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs

3 July 2021

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Papers citing "On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs"

42 / 42 papers shown

Title
Learning Network Dismantling Without Handcrafted Inputs Haozhe Tian P. Ferraro Robert Shorten Mahdi Jalili Homayoun Hamedmoghadam GNN 160 0 0 01 Aug 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 309 1 0 13 Jun 2025
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports S. Balachandar Shuvom Sadhuka Emma Pierson Emma Pierson Nikhil Garg AI4TS 223 1 0 10 Jun 2025
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems Michael Färber David Lamprecht Yuni Susanti 142 0 0 10 Jun 2025
Visualization Tasks for Unlabelled Graphs Matt I. B. Oddo Ryan Smith Stephen Kobourov Tamara Munzner 191 0 0 19 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution ShiftsIEEE International Conference on Data Engineering (ICDE), 2025 Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 289 0 0 01 Apr 2025
GRAIN: Exact Graph Reconstruction from GradientsInternational Conference on Learning Representations (ICLR), 2025 Maria Drencheva Ivo Petrov Maximilian Baader Dimitar I. Dimitrov Martin Vechev FedML 281 3 0 03 Mar 2025
BrainMAP: Learning Multiple Activation Pathways in Brain NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024 Song Wang Zhenyu Lei Zhen Tan Jiaqi Ding Xinyu Zhao ... Guorong Wu Tianlong Chen Chen Chen Aiying Zhang Jundong Li 247 0 0 23 Dec 2024
GNN Applied to Ego-nets for Friend Suggestions Evgeny Zamyatin GNN 225 1 0 16 Dec 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node FeaturesInternational Conference on Computational Linguistics (COLING), 2024 Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 287 0 0 05 Oct 2024
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 299 0 0 17 Sep 2024
Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs Longwen Wang Jianchun Liu Zhi Liu Jinyang Huang AI4CE FedML 153 1 0 21 Aug 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning Zitong Wang Xuexiong Luo Enfeng Song Qiuqing Bai Fu Lin 185 2 0 13 Jul 2024
Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs Zhengdao Li Yong Cao Kefan Shuai Yiming Miao Kai Hwang 322 7 0 06 Jul 2024
Link Prediction with Untrained Message Passing Layers Lisi Qarkaxhija Anatol E. Wegner Ingo Scholtes 312 0 0 24 Jun 2024
Decoupled Subgraph Federated Learning Javad Aliakbari Johan Ostman Alexandre Graell i Amat FedML 276 1 0 29 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 328 10 0 07 Feb 2024
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023 Yixuan Huang Jialin Yuan Chanho Kim Pupul Pradhan Bryan Chen Fuxin Li Tucker Hermans 341 11 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric FinetuningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 477 20 0 25 Sep 2023
Recovering Missing Node Features with Local Structure-based EmbeddingsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 153 5 0 16 Sep 2023
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix StructureInternational Work-Conference on Artificial and Natural Neural Networks (IWANN), 2023 Khaled Abdelaal Richard Veras 97 1 0 26 Jul 2023
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2023 Ousmane Touat Julian Stier Pierre-Edouard Portier Michael Granitzer 118 2 0 13 Jul 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain ConnectomicsNeural Information Processing Systems (NeurIPS), 2023 Anwar Said Roza G. Bayrak Hanyu Wang Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 279 43 0 09 Jun 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network AnalysisACM Conference on Health, Inference, and Learning (CHIL), 2023 Yi Yang Hejie Cui Carl Yang 208 23 0 20 May 2023
Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational ClassifiersIEEE Transactions on robotics (TRO), 2023 Yixuan Huang Nichols Crawford Taylor Adam Conkey Weiyu Liu Tucker Hermans 362 12 0 18 May 2023
Creating generalizable downstream graph models with random projections Anton Amirov Chris Quirk Jennifer Neville 123 1 0 17 Feb 2023
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph GenerationIndustrial Conference on Data Mining (IDM), 2022 Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 185 53 0 04 Dec 2022
Brain Network TransformerNeural Information Processing Systems (NeurIPS), 2022 Xuan Kan Wei Dai Hejie Cui Zilong Zhang Ying Guo Carl Yang MedIm 168 164 0 13 Oct 2022
Planning for Multi-Object Manipulation with Graph Neural Network Relational ClassifiersIEEE International Conference on Robotics and Automation (ICRA), 2022 Yixuan Huang Adam Conkey Tucker Hermans 330 29 0 24 Sep 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 262 102 0 30 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph AutoencoderKnowledge Discovery and Data Mining (KDD), 2022 Jaemin Yoo Hyunsik Jeon Jinhong Jung U. Kang BDL 122 33 0 09 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningKnowledge Discovery and Data Mining (KDD), 2022 Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 141 34 0 09 Jun 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural NetworksIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Chen Tang Lifang He Ying Guo Carl Yang 226 167 0 17 Mar 2022
Graph Auto-Encoder Via Neighborhood Wasserstein ReconstructionInternational Conference on Learning Representations (ICLR), 2022 Mingyue Tang Carl Yang Pan Li GNN AI4CE 142 63 0 18 Feb 2022
Graph Neural Network-based Android Malware Classification with Jumping KnowledgeInternational Conference on Data Science in Cyberspace (ICDSC), 2022 Wai Weng Lo S. Layeghy Mohanad Sarhan Marcus Gallagher Marius Portmann 350 25 0 19 Jan 2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map GenerationEuropean Conference on Information Retrieval (ECIR), 2022 Hejie Cui Jiaying Lu Yao Ge Carl Yang 170 24 0 12 Jan 2022
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 227 124 0 23 Nov 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 519 420 0 15 Oct 2021
Deep Fraud Detection on Non-attributed Graph Chen Wang Yingtong Dou Min Chen Jia Chen Zhiwei Liu Philip S. Yu GNN 122 21 0 04 Oct 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 198 31 0 21 Sep 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis Hejie Cui Wei Dai Yanqiao Zhu Xiaoxiao Li Lifang He Carl Yang 117 31 0 11 Jul 2021
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 128 3 0 05 Sep 2020