Position-aware Graph Neural Networks

11 June 2019

Papers citing "Position-aware Graph Neural Networks"

50 / 245 papers shown

Title
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 20 0 16 Aug 2023
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes Jincheng Zhou Beatrice Bevilacqua Bruno Ribeiro 40 7 0 12 Jul 2023
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes Giuseppe Vecchio Luca Prezzavento C. Pino Francesco Rundo S. Palazzo C. Spampinato 35 5 0 03 Jul 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 29 2 0 25 Jun 2023
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks Mridul Gupta H. Kodamana Sayan Ranu AI4TS 27 17 0 14 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 24 0 0 14 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 26 26 0 09 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 24 7 0 06 Jun 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs Minyoung Choe Sunwoo Kim Jaemin Yoo Kijung Shin GNN 33 10 0 05 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 33 10 0 01 Jun 2023
SPGNN-API: A Transferable Graph Neural Network for Attack Paths Identification and Autonomous Mitigation Houssem Jmal Firas Hmida Nardine Basta Muhammad Ikram M. Kâafar Andy Walker AAML 26 1 0 31 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 37 6 0 30 May 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 45 28 0 29 May 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark J. Coates Philip Torr Ser-Nam Lim AI4CE 40 85 0 27 May 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding Nicolas Keriven Samuel Vaiter 41 11 0 24 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 48 23 0 23 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 60 66 0 10 May 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs Yinchuan Li Zhigang Li Wenqian Li Yunfeng Shao Yan Zheng Jianye Hao 32 3 0 24 Apr 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 36 4 0 20 Apr 2023
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems Bosong Huang Weihao Yu Ruzhong Xie Jing Xiao Jin Huang DiffM 26 3 0 18 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 30 6 0 15 Apr 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 16 20 0 24 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 37 2 0 17 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 34 64 0 03 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 43 9 0 02 Feb 2023
A Network Science perspective of Graph Convolutional Networks: A survey Mingshan Jia Bogdan Gabrys Katarzyna Musial GNN 32 7 0 12 Jan 2023
Refined Edge Usage of Graph Neural Networks for Edge Prediction Jiarui Jin Yangkun Wang Weinan Zhang Quan Gan Xiang Song Yong Yu Zheng-Wei Zhang David Wipf 28 2 0 25 Dec 2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo Di Jin Yawen Li Dongxiao He Yubin Yang Lingfei Wu 11 38 0 24 Dec 2022
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition Peyman Baghershahi Reshad Hosseini H. Moradi GNN 11 3 0 11 Dec 2022
Learning Graph Search Heuristics Michal Pándy Weikang Qiu Gabriele Corso Petar Velivcković Rex Ying J. Leskovec Pietro Lio GNN 35 8 0 07 Dec 2022
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 37 42 0 04 Dec 2022
xEM: Explainable Entity Matching in Customer 360 Sukriti Jaitly Deepa Mariam George Balaji Ganesan Muhammad Ameen Srinivas Pusapati 24 0 0 01 Dec 2022
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 38 5 0 27 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 54 126 0 23 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 40 1 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 19 0 0 19 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 26 56 0 08 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 21 7 0 04 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 39 4 0 01 Nov 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah Leman Akoglu 32 17 0 18 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 84 4 0 14 Oct 2022
Using Graph Algorithms to Pretrain Graph Completion Transformers Jonathan Pilault Mikhail Galkin Bahare Fatemi Perouz Taslakian David Vasquez C. Pal 30 0 0 14 Oct 2022
From Local to Global: Spectral-Inspired Graph Neural Networks Ningyuan Huang Soledad Villar Carey E. Priebe Da Zheng Cheng-Fu Huang Lin F. Yang Vladimir Braverman 25 14 0 24 Sep 2022
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review Guixiang Ma Vy A. Vo Ted Willke Nesreen Ahmed 37 1 0 22 Sep 2022
SPGP: Structure Prototype Guided Graph Pooling Sangseon Lee Dohoon Lee Yinhua Piao Sun Kim 42 1 0 16 Sep 2022
Earthquake Phase Association with Graph Neural Networks I. McBrearty G. Beroza 32 39 0 15 Sep 2022
Neighborhood-aware Scalable Temporal Network Representation Learning Yu Luo Pan Li GNN AI4TS 29 48 0 02 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 32 6 0 25 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 52 14 0 22 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 24 38 0 17 Aug 2022