GLADformer: A Mixed Perspective for Graph-level Anomaly Detection

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GLADformer: A Mixed Perspective for Graph-level Anomaly Detection

2 June 2024

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Papers citing "GLADformer: A Mixed Perspective for Graph-level Anomaly Detection"

18 / 18 papers shown

Title
Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering Renxiang Guan Zihao Li Xianju Li Chang-Fu Tang 60 27 0 15 Dec 2023
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Fan Xu Nan Wang Hao Wu Xuezhi Wen Xibin Zhao Hai Wan 44 25 0 11 Dec 2023
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks Renxiang Guan Zihao Li Xianju Li Chang-Fu Tang Ruyi Feng 73 26 0 11 Dec 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 83 51 0 25 Oct 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction Hao Wu Wei Xion Fan Xu Xian-Sheng Hua C. L. Philip Chen Xiansheng Hua AI4TS 183 28 0 19 May 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 113 219 0 31 May 2022
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 69 51 0 24 Oct 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 116 226 0 21 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 99 542 0 07 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 453 21,439 0 25 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 85 176 0 23 Feb 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 176 588 0 04 Jan 2021
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 201 200 0 20 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 236 821 0 16 Jul 2020
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 120 579 0 27 May 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,653 0 01 Oct 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016