Position-aware Graph Neural Networks

11 June 2019

Papers citing "Position-aware Graph Neural Networks"

50 / 245 papers shown

Title
ROLAND: Graph Learning Framework for Dynamic Graphs Jiaxuan You Tianyu Du J. Leskovec AI4CE 23 164 0 15 Aug 2022
Rethinking Graph Neural Networks for the Graph Coloring Problem Wei Li Ruxuan Li Yuzhe Ma S. Chan Yao Lai Bei Yu 25 13 0 15 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 34 13 0 22 Jul 2022
Modeling Teams Performance Using Deep Representational Learning on Graphs Francesco Carli Pietro Foini N. Gozzi N. Perra Rossano Schifanella GNN 33 0 0 29 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari GNN 27 14 0 23 Jun 2022
Affinity-Aware Graph Networks A. Velingker A. Sinop Ira Ktena Petar Velickovic Sreenivas Gollapudi GNN 52 16 0 23 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 51 57 0 22 Jun 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications Sai Munikoti D. Agarwal L. Das M. Halappanavar Balasubramaniam Natarajan GNN OffRL AI4CE 35 59 0 16 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset Chunhui Ai Derui Wang Xuemi Yan Yang Xu Wenrui Xie Ziqiang Cao 29 0 0 15 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 27 6 0 10 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 29 4 0 09 Jun 2022
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction Seongjun Yun Seoyoon Kim Junhyun Lee Jaewoo Kang Hyunwoo J. Kim GNN 21 111 0 09 Jun 2022
Neural Bandit with Arm Group Graph Yunzhe Qi Yikun Ban Jingrui He 33 10 0 08 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 34 1 0 06 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou Gitta Kutyniok Bruno Ribeiro OODD AI4CE 85 37 0 30 May 2022
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature Cuiying Huo Di Jin Chundong Liang Dongxiao He Tie Qiu Lingfei Wu 34 13 0 25 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 80 184 0 23 May 2022
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search Shinsaku Sakaue Taihei Oki 35 3 0 20 May 2022
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 44 109 0 04 Apr 2022
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 40 14 0 29 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 50 40 0 25 Mar 2022
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily Xiaojun Ma Qinkai Chen Yuanyi Ren Guojie Song Liang Wang 25 22 0 19 Mar 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 19 113 0 17 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 40 108 0 01 Mar 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 33 4 0 17 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 36 237 0 07 Feb 2022
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks Yu Zhao Shaopeng Wei Yu-Meng Guo Qing Yang Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Gang Kou 21 21 0 01 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 30 33 0 29 Jan 2022
Neural Approximation of Graph Topological Features Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 25 12 0 28 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 28 45 0 14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction Baole Ai Zhou Qin Wen Shen Yong Li 24 7 0 14 Jan 2022
Structure and position-aware graph neural network for airway labeling Weiyi Xie Colin Jacobs Jean-Paul Charbonnier Bram van Ginneken 32 11 0 12 Jan 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 26 8 0 25 Dec 2021
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks Daniel F. Perez-Ramirez Carlos Pérez-Penichet N. Tsiftes Thiemo Voigt Dejan Kostić Magnus Boman GNN 14 5 0 24 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 21 13 0 22 Dec 2021
GraphPAS: Parallel Architecture Search for Graph Neural Networks Jiamin Chen Jianliang Gao Yibo Chen Moctard Babatounde Oloulade Tengfei Lyu Zhao Li GNN 18 21 0 07 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 36 0 0 06 Dec 2021
Node-wise Hardware Trojan Detection Based on Graph Learning Kento Hasegawa Kazuki Yamashita Seira Hidano Kazuhide Fukushima Kazuo Hashimoto N. Togawa 25 26 0 04 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 22 39 0 02 Dec 2021
Learnable Structural Semantic Readout for Graph Classification Dongha Lee S. Kim Seonghyeon Lee Chanyoung Park Hwanjo Yu GNN 27 20 0 22 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 6 9 0 17 Nov 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 31 79 0 25 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 312 0 15 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 21 88 0 08 Oct 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation Chao Huang Huance Xu Yong-mei Xu Peng Dai Lianghao Xia Mengyin Lu Liefeng Bo Hao Xing Xiaoping Lai Yanfang Ye 29 170 0 08 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan Tengfei Ma Liangcai Gao Zhi Tang Chao Chen 21 20 0 06 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 132 78 0 01 Oct 2021
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning Mingyu Derek Ma Muhao Chen Te-Lin Wu Nanyun Peng 30 23 0 22 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 26 20 0 21 Sep 2021