v1v2 (latest)

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

18 October 2024

Papers citing "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"

33 / 33 papers shown

Title
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu Guansong Pang Ling-Hao Chen Bing Liu CLL 128 6 0 14 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 76 8 0 16 Sep 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 78 14 0 27 May 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts Jiawen Zhu Guansong Pang VLM 93 40 0 11 Mar 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Yuhan Li Peisong Wang Zhixun Li Jeffrey Xu Yu Jia Li 65 47 0 17 Feb 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining Haihong Zhao Aochuan Chen Xiangguo Sun Hong Cheng Jia Li 78 40 0 15 Feb 2024
Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine Christopher Leckie 75 3 0 12 Nov 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection Qihang Zhou Guansong Pang Yu Tian Shibo He Jiming Chen VLM 75 144 0 29 Oct 2023
All in One: Multi-task Prompting for Graph Neural Networks Xiangguo Sun Hongtao Cheng Jia Li Bo Liu Jihong Guan LLMAG AI4CE 89 143 0 04 Jul 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 88 64 0 21 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 87 29 0 29 May 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran Onkar Dabeer VLM 126 208 0 26 Mar 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 73 146 0 16 Feb 2023
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine C. Leckie 103 30 0 02 Dec 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method Yihong Huang Liping Wang Fan Zhang Xuemin Lin 72 24 0 24 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 96 58 0 30 Sep 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 83 98 0 21 Jun 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 113 221 0 31 May 2022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 96 129 0 23 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 218 3,987 0 28 Jul 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 74 97 0 18 Jun 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning Xiaoxiao Ma Hongzhi Zhang Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu GNN AI4TS 82 559 0 14 Jun 2021
Hop-Count Based Self-Supervised Anomaly Detection on Attributed Networks Tianjin Huang Yulong Pei Vlado Menkovski Mykola Pechenizkiy 66 34 0 16 Apr 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 123 305 0 27 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 73 818 0 07 Jun 2020
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks Haoyi Fan Fengbin Zhang Zuoyong Li 87 160 0 10 Feb 2020
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Srijan Kumar Xikun Zhang J. Leskovec AI4TS 68 739 0 03 Aug 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,179 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 783 8,554 0 03 Jan 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,225 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 512 15,319 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016