ARC: A Generalist Graph Anomaly Detector with In-Context Learning

27 May 2024

Papers citing "ARC: A Generalist Graph Anomaly Detector with In-Context Learning"

9 / 9 papers shown

Title
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning Jiapu Wang Kai Sun Linhao Luo Wei Wei Yongli Hu Alan Wee-Chung Liew Shirui Pan Baocai Yin 36 5 0 31 Dec 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 24 6 0 21 Jun 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts Jiawen Zhu Guansong Pang VLM 53 14 0 11 Mar 2024
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 61 92 0 26 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 64 193 0 31 May 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes Alexander Kolesnikov André Susano Pinto Lucas Beyer Xiaohua Zhai Jeremiah Harmsen N. Houlsby 90 67 0 20 May 2022
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 53 59 0 26 Apr 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 31 51 0 21 Jan 2021