Siddharth Bhatia

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 33

Top Topics

Detecting Anomalous

Attributed Graphs

Anomaly Detection

Top Venues

Publications

Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
Sketch-Based Anomaly Detection in Streaming Graphs. KDD (2023)
Siddharth Bhatia
Streaming Anomaly Detection. CoRR (2023)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR (2022)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM (2022)
Ying Sun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu
AAAN: Anomaly Alignment in Attributed Networks. Knowl. Based Syst. 249 (2022)
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
MemStream: Memory-Based Streaming Anomaly Detection. WWW (2022)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Nannan Wu, Ning Zhang, Qingcheng Lu, Jie Zhang, Wenjun Wang, Ying Sun, Siddharth Bhatia
Multiple Anomaly Alignments on Network Traffics. ICKG (2022)
Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
SSMF: Shifting Seasonal Matrix Factorization. NeurIPS (2021)
Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
SSMF: Shifting Seasonal Matrix Factorization. CoRR (2021)
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI (2021)
Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. ECML/PKDD (2) (2021)
Rui Liu, Siddharth Bhatia, Bryan Hooi
Isconna: Streaming Anomaly Detection with Frequency and Patterns. CoRR (2021)
Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs. CoRR (2021)
Siddharth Bhatia, Bryan Hooi, Leman Akoglu, Sourav Chatterjee, Xiaodong Jiang, Manish Gupta
ODD: Outlier Detection and Description. KDD (2021)
Siddharth Bhatia, Mohit Wadhwa, Philip S. Yu, Bryan Hooi
Sketch-Based Streaming Anomaly Detection in Dynamic Graphs. CoRR (2021)
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Siddharth Bhatia, Bryan Hooi
Adaptive Data Augmentation on Temporal Graphs. NeurIPS (2021)
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
CAC: A Clustering Based Framework for Classification. CoRR (2021)
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi
MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. CoRR (2021)
Siddharth Bhatia, Arjit Jain, Bryan Hooi
ExGAN: Adversarial Generation of Extreme Samples. AAAI (2021)
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
MStream: Fast Anomaly Detection in Multi-Aspect Streams. WWW (2021)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI (2020)
Siddharth Bhatia, Arjit Jain, Bryan Hooi
ExGAN: Adversarial Generation of Extreme Samples. CoRR (2020)
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. CoRR (2020)
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR (2020)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR (2020)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR (2019)
Siddharth Bhatia, Kunal Lad, Rajiv Kumar
Bend-optimal orthogonal drawings of triconnected plane graphs. AKCE Int. J. Graphs Comb. 15 (2) (2018)
Siddharth Bhatia
Approximate Triangle Count and Clustering Coefficient. SIGMOD Conference (2018)
Siddharth Bhatia, Rajiv Kumar
Review of Graph Processing Frameworks. ICDM Workshops (2018)
Siddharth Bhatia, Yash Sinha, Lavika Goel
Lung Cancer Detection: A Deep Learning Approach. SocProS (2) (2017)
Yash Sinha, Siddharth Bhatia, Virendra S. Shekhawat
MPLS based hybridization in SDN. SDS (2017)
Siddharth Bhatia, Mohan Pavan Kumar Badarla
Parallelization of Error Weighted Hashing for Approximate k-Nearest Neighbour Search on GPU-CPU Hybrid. BigDataSecurity/HPSC/IDS (2016)