Neil Shah
Neil Shah
Research Scientist at Snap
Verified email at snap.com - Homepage
Title
Cited by
Cited by
Year
False information on web and social media: A survey
S Kumar, N Shah
arXiv preprint arXiv:1804.08559, 2018
2562018
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
2062016
Compressing the incompressible with ISABELA: In-situ reduction of spatio-temporal data
S Lakshminarasimhan, N Shah, S Ethier, S Klasky, R Latham, R Ross, ...
European Conference on Parallel Processing, 366-379, 2011
2002011
TimeCrunch: Interpretable Dynamic Graph Summarization
N Shah, D Koutra, T Zou, B Gallagher, C Faloutsos
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
1242015
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
1022016
Spotting suspicious link behavior with fbox: An adversarial perspective
N Shah, A Beutel, B Gallagher, C Faloutsos
2014 IEEE International Conference on Data Mining, 959-964, 2014
1022014
DeltaCon: Principled Massive-Graph Similarity Function with Attribution
D Koutra, N Shah, JT Vogelstein, B Gallagher, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 28, 2016
942016
ISOBAR preconditioner for effective and high-throughput lossless data compression
ER Schendel, Y Jin, N Shah, J Chen, CS Chang, SH Ku, S Ethier, ...
2012 IEEE 28th international conference on data engineering, 138-149, 2012
812012
ISABELA for effective in situ compression of scientific data
S Lakshminarasimhan, N Shah, S Ethier, SH Ku, CS Chang, S Klasky, ...
Concurrency and Computation: Practice and Experience 25 (4), 524-540, 2013
782013
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings
GB Guacho, S Abdali, N Shah, EE Papalexakis
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
622018
Edgecentric: Anomaly detection in edge-attributed networks
N Shah, A Beutel, B Hooi, L Akoglu, S Gunnemann, D Makhija, M Kumar, ...
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
532016
Graph-based fraud detection in the face of camouflage
B Hooi, K Shin, HA Song, A Beutel, N Shah, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-26, 2017
452017
Retweeting Activity on Twitter: Signs of Deception
M Giatsoglou, D Chatzakou, N Shah, C Faloutsos, A Vakali
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 122-134, 2015
442015
ND-Sync: Detecting Synchronized Fraud Activities
M Giatsoglou, D Chatzakou, N Shah, A Beutel, C Faloutsos, A Vakali
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 201-214, 2015
372015
Data Augmentation for Graph Neural Networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
AAAI, 2020
312020
ALACRITY: Analytics-driven lossless data compression for rapid in-situ indexing, storing, and querying
J Jenkins, I Arkatkar, S Lakshminarasimhan, DA Boyuka II, ER Schendel, ...
Transactions on Large-Scale Data-and Knowledge-Centered Systems X, 95-114, 2013
292013
Beyond Outlier Detection: LOOKOUT for Pictorial Explanation
N Gupta, D Eswaran, N Shah, L Akoglu, C Faloutsos
ECML-PKDD, 2018
282018
FLOCK: Combating Astroturfing on Livestreaming Platforms
N Shah
Proceedings of the 26th International Conference on World Wide Web, 1083-1091, 2017
262017
The Many Faces of Link Fraud
N Shah, H Lamba, A Beutel, C Faloutsos
2017 IEEE International Conference on Data Mining (ICDM), 1069-1074, 2017
252017
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
X Tang, Y Liu, N Shah, X Shi, P Mitra, S Wang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
142020
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