Articles with public access mandates - Neil ShahLearn more
Not available anywhere: 1
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
S Abdali, GG Bastidas, N Shah, EE Papalexakis
Disinformation, Misinformation, and Fake News in Social Media: Emerging …, 2020
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 21
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
Mandates: US National Science Foundation
A unified view on graph neural networks as graph signal denoising
Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US Department of Energy
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
Mandates: US Department of Defense
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
Mandates: US National Science Foundation
Beyond Outlier Detection: LOOKOUT for Pictorial Explanation
N Gupta, D Eswaran, N Shah, L Akoglu, C Faloutsos
ECML-PKDD, 2018
Mandates: US National Science Foundation
A synergistic approach for graph anomaly detection with pattern mining and feature learning
T Zhao, T Jiang, N Shah, M Jiang
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2393-2405, 2021
Mandates: US National Science Foundation
Fairod: Fairness-aware outlier detection
S Shekhar, N Shah, L Akoglu
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 210-220, 2021
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation, US Department of Defense
Gstarx: Explaining graph neural networks with structure-aware cooperative games
S Zhang, Y Liu, N Shah, Y Sun
Advances in Neural Information Processing Systems 35, 19810-19823, 2022
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Action Sequence Augmentation for Early Graph-based Anomaly Detection
T Zhao, B Ni, W Yu, Z Guo, N Shah, M Jiang
Proceedings of the 30th ACM International Conference on Information …, 2021
Mandates: US National Science Foundation
Sketch-Based Anomaly Detection in Streaming Graphs
S Bhatia, M Wadhwa, K Kawaguchi, N Shah, PS Yu, B Hooi
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Mandates: US National Science Foundation, National Research Foundation, Singapore
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition.
S Abdali, N Shah, EE Papalexakis
ECML/PKDD (5), 406-422, 2020
Mandates: US National Science Foundation, US Department of Defense
Identifying Misinformation from Website Screenshots
S Abdali, R Gurav, S Menon, D Fonseca, N Entezari, N Shah, ...
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
Mandates: US National Science Foundation, US Department of Defense
Friend Story Ranking with Edge-Contextual Local Graph Convolutions
X Tang, Y Liu, X He, S Wang, N Shah
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Mandates: US National Science Foundation
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
J Li, H Shomer, J Ding, Y Wang, Y Ma, N Shah, J Tang, D Yin
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
Mandates: US National Science Foundation, US Department of Defense
Carl-g: Clustering-accelerated representation learning on graphs
W Shiao, US Saini, Y Liu, T Zhao, N Shah, EE Papalexakis
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Mandates: US National Science Foundation, US Department of Defense, US Department of …
Attributed Graph Modeling with Vertex Replacement Grammars
S Sikdar, N Shah, T Weninger
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
Mandates: US National Science Foundation
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