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2020 – today
- 2023
[c69]Yiwei Wang
, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM 2023: 348-356- [c68]Tyler Derr, Yao Ma, Benedek Rozemberczki, Neil Shah, Shirui Pan:
The 3rd International Workshop on Machine Learning on Graphs (MLoG). WSDM 2023: 1271-1272 - 2022
- [j11]Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah:
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5: 893216 (2022) - [j10]Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang:
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2393-2405 (2022) - [c67]Andrew Niederhausern, Nadia Bahadur, Neil Shah, Fenil Gandhi, Alysha Insinga, Kimberly Chan, Laura Barton, John Philip, Chelsea Nichols:
Extending the Standard REDCap Dictionary Definitions Using REDCap. AMIA 2022 - [c66]Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CIKM 2022: 2067-2076 - [c65]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c64]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? ICLR 2022 - [c63]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. ICLR 2022 - [c62]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. ICLR 2022 - [c61]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c60]Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah:
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. ICLR 2022 - [c59]Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri:
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM 2022: 393-404 - [c58]Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng:
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD 2022: 4854-4855 - [c57]Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi:
17th International Workshop on Mining and Learning with Graphs (MLG). KDD 2022: 4868-4869 - [c56]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c55]Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun:
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS 2022 - [c54]Lingxiao Zhao, Neil Shah, Leman Akoglu:
A Practical, Progressively-Expressive GNN. NeurIPS 2022 - [c53]Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin:
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. WSDM 2022: 908-916 - [c52]Satyaki Sikdar, Neil Shah, Tim Weninger:
Attributed Graph Modeling with Vertex Replacement Grammars. WSDM 2022: 928-936 - [c51]Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah:
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM 2022: 1007-1015 - [i42]Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR abs/2201.12380 (2022) - [i41]Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR abs/2205.10652 (2022) - [i40]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i39]Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR abs/2210.00102 (2022) - [i38]Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang:
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR abs/2210.02016 (2022) - [i37]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR abs/2210.03561 (2022) - [i36]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. CoRR abs/2210.05801 (2022) - [i35]Rishav Chourasia, Neil Shah, Reza Shokri:
Forget Unlearning: Towards True Data-Deletion in Machine Learning. CoRR abs/2210.08911 (2022) - [i34]Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu:
A Practical, Progressively-Expressive GNN. CoRR abs/2210.09521 (2022) - [i33]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. CoRR abs/2211.14394 (2022) - 2021
- [j9]Neil Shah, Nandish Bhagat, Manan Shah:
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. Vis. Comput. Ind. Biomed. Art 4(1): 9 (2021) - [c50]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. AAAI 2021: 11015-11023 - [c49]Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FairOD: Fairness-aware Outlier Detection. AIES 2021: 210-220 - [c48]Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos:
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI 2021: 581:1-581:18 - [c47]Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah:
NED: Niche Detection in User Content Consumption Data. CIKM 2021: 627-637 - [c46]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM 2021: 1202-1211 - [c45]Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM 2021: 2668-2678 - [c44]Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis:
Identifying Misinformation from Website Screenshots. ICWSM 2021: 2-13 - [c43]Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos:
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM 2021: 117-128 - [c42]Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah:
Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat. ICWSM 2021: 830-840 - [c41]Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu:
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. KDD 2021: 4129-4130 - [c40]Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah:
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW 2021: 2535-2546 - [i32]Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos E. Papalexakis:
Identifying Misinformation from Website Screenshots. CoRR abs/2102.07849 (2021) - [i31]Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection. CoRR abs/2102.07857 (2021) - [i30]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i29]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? CoRR abs/2106.06134 (2021) - [i28]Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah:
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness. CoRR abs/2110.03753 (2021) - [i27]Satyaki Sikdar, Neil Shah, Tim Weninger:
Attributed Graph Modeling with Vertex Replacement Grammars. CoRR abs/2110.06410 (2021) - [i26]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. CoRR abs/2110.07580 (2021) - [i25]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR abs/2110.08727 (2021) - [i24]Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin:
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. CoRR abs/2110.14875 (2021) - [i23]Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr:
Imbalanced Graph Classification via Graph-of-Graph Neural Networks. CoRR abs/2112.00238 (2021) - 2020
- [j8]Ernest Turro, William J. Astle, Karyn Megy, Stefan Gräf, Daniel Greene, Olga Shamardina, Hana Lango Allen, Alba Sanchis-Juan, Mattia Frontini, Chantal Thys, Jonathan Stephens, Rutendo Mapeta, Oliver S. Burren, Kate Downes, Matthias Haimel, Salih Tuna, Sri V. V. Deevi, Timothy J. Aitman, David L. Bennett, Paul Calleja, Keren Carss, Mark J. Caulfield, Patrick F. Chinnery, Peter H. Dixon, Daniel P. Gale, Roger James, Ania Koziell, Michael A. Laffan, Adam P. Levine, Eamonn R. Maher, Hugh S. Markus, Joannella Morales, Nicholas W. Morrell, Andrew D. Mumford, Elizabeth Ormondroyd, Stuart Rankin, Augusto Rendon, Sylvia Richardson, Irene Roberts, Noemi B. A. Roy, Moin A. Saleem, Kenneth G. C. Smith, Hannah Stark, Rhea Y. Y. Tan, Andreas C. Themistocleous, Adrian J. Thrasher, Hugh Watkins, Andrew R. Webster, Martin R. Wilkins, Catherine Williamson, James Whitworth, Sean Humphray, David R. Bentley, Stephen Abbs, Lara Abulhoul, Julian Adlard, Munaza Ahmed, Hana Alachkar, David J. Allsup, Jeff Almeida-King, Philip Ancliff, Richard Antrobus, Ruth Armstrong, Gavin Arno, Sofie Ashford, Anthony Attwood, Paul Aurora, Christian Babbs, Chiara Bacchelli, Tamam Bakchoul, Siddharth Banka, Tadbir Bariana, Julian Barwell, Joana Batista, Helen E. Baxendale, Phil L. Beales, Agnieszka Bierzynska, Tina Biss, Maria A. K. Bitner-Glindzicz, Graeme C. M. Black, Marta Bleda, Iulia Blesneac, Detlef Bockenhauer, Harm Bogaard, Christian J. Bourne, Sara Boyce, John R. Bradley, Eugene Bragin, Gerome Breen, Paul Brennan, Carole Brewer, Matthew Brown, Andrew C. Browning, Michael J. Browning, Rachel J. Buchan, Matthew S. Buckland, Teofila Bueser, Carmen Bugarin Diz, John Burn, Siobhan O. Burns, Nigel Burrows, Carolyn Campbell, Gerald Carr-White, Ruth Casey, Jenny Chambers, John Chambers, Melanie M. Y. Chan, Calvin Cheah, Floria Cheng, Manali Chitre, Martin T. Christian, Colin Church, Jill Clayton-Smith, Maureen Cleary, Naomi Clements Brod, Gerry Coghlan, Elizabeth Colby, Trevor R. P. Cole, Janine Collins, Peter W. Collins, Camilla Colombo, Cecilia J. Compton, Robin Condliffe, Stuart A. Cook, H. Terence Cook, Nichola Cooper, Paul A. Corris, Abigail Furnell, Fiona Cunningham, Nicola S. Curry, Antony J. Cutler, Matthew J. Daniels, Mehul Dattani, Louise C. Daugherty, John Davis, Anthony De Soyza, Timothy Dent, Charu Deshpande, Eleanor F. Dewhurst, Sofia Douzgou, Anna M. Drazyk, Elizabeth Drewe, Daniel Duarte, Tina Dutt, J. David M. Edgar, Karen Edwards, William Egner, Melanie N. Ekani, Perry Elliott, Wendy N. Erber, Marie Erwood, Maria C. Estiu, Dafydd Gareth Evans, Gillian Evans, Tamara Everington, Mélanie Eyries, Hiva Fassihi, Remi Favier, Jack Findhammer, Debra Fletcher, Frances A. Flinter, R. Andres Floto, Tom Fowler, James Fox, Amy J. Frary, Courtney E. French, Kathleen Freson, Henning Gall, Vijeya Ganesan, Michael Gattens, Claire Geoghegan, Terence S. A. Gerighty, Ali G. Gharavi, Stefano Ghio, Hossein-Ardeschir Ghofrani, J. Simon R. Gibbs, Kate Gibson, Kimberly C. Gilmour, Barbara Girerd, Nicholas S. Gleadall, Sarah Goddard, David B. Goldstein, Keith Gomez, Pavels Gordins, David Gosal, Jodie Graham, Luigi Grassi, Lynn Greenhalgh, Andreas Greinacher, Paolo Gresele, Philip Griffiths, Sofia Grigoriadou, Russell J. Grocock, Detelina Grozeva, Mark Gurnell, Scott Hackett, Charaka Hadinnapola, William M. Hague, Rosie Hague, Matthew Hall, Helen L. Hanson, Eshika Haque, Kirsty Harkness, Andrew R. Harper, Claire L. Harris, Daniel Hart, Ahamad Hassan, Grant Hayman, Alex Henderson, Archana Herwadkar, Jonathan Hoffman, Simon Holden, Rita Horvath, Henry Houlden, Arjan C. Houweling, Luke S. G. E. Howard, Fengyuan Hu, Gavin Hudson, Joseph Hughes, Aarnoud P. Huissoon, Marc Humbert, Sarah Hunter, Matthew E. Hurles, Melita Irving, Louise Izatt, Sally A. Johnson, Stephen Jolles, Jennifer Jolley, Dragana Josifova, Neringa Jurkute, Tim Karten, Johannes Karten, Mary A. Kasanicki, Hanadi Kazkaz, Rashid Kazmi, Peter Kelleher, Anne M. Kelly, Wilf Kelsall, Carly Kempster, David G. Kiely, Nathalie Kingston, Robert Klima, Nils Koelling, Myrto Kostadima, Gabor Kovacs, Roman Kreuzhuber, Taco W. Kuijpers, Ajith Kumar, Dinakantha Kumararatne, Manju A. Kurian, Fiona Lalloo, Michele Lambert, Allan Lawrie, D. Mark Layton, Nick Lench, Claire Lentaigne, Tracy Lester, Rachel Linger, Hilary Longhurst, Lorena E. Lorenzo, Eleni Louka, Paul A. Lyons, Rajiv D. Machado, Robert V. MacKenzie Ross, Bella Madan, Jesmeen Maimaris, Samantha Malka, Sarah Mangles, Kevin J. Marchbank, Stephen Marks, Hanns-Ulrich Marschall, Andrew G. Marshall, Jennifer Martin, Mary Mathias, Emma Matthews, Heather Maxwell, Paul McAlinden, Mark I. McCarthy, Harriet McKinney, Aoife McMahon, Stuart Meacham, Adam J. Mead, Ignacio Medina Castello, Sarju G. Mehta, Michel Michaelides, Carolyn Millar, Shehla N. Mohammed, Shahin Moledina, David Montani, Anthony T. Moore, Monika Mozere, Keith W. Muir, Andrea H. Nemeth, William G. Newman, Michael Newnham, Sadia Noorani, Paquita Nurden, Jennifer O'Sullivan, Samya Obaji, Chris Odhams, Steven Okoli, Andrea Olschewski, Horst Olschewski, Kai Ren Ong, S. Helen Oram, Willem H. Ouwehand, Claire Palles, Sofia Papadia, Soo-Mi Park, David Parry, Smita Patel, Joan Paterson, Andrew Peacock, Simon H. Pearce, John Peden, Kathelijne Peerlinck, Christopher J. Penkett, Joanna Pepke-Zaba, Romina Petersen, Clarissa Pilkington, Kenneth E. S. Poole, Radhika Prathalingam, Bethan Psaila, Angela Pyle, Richard Quinton, Shamima Rahman, Anupama Rao, F. Lucy Raymond, Paula J. Rayner-Matthews, Christine Rees, Tara Renton, Christopher J. Rhodes, Andrew S. C. Rice, Alex Richter, Leema Robert, Anthony Rogers, Sarah J. Rose, Robert Ross-Russell, Catherine Roughley, Deborah M. Ruddy, Omid Sadeghi-Alavijeh, Nilesh J. Samani, Crina Samarghitean, Ravishankar B. Sargur, Robert N. Sarkany, Simon Satchell, Sinisa Savic, John A. Sayer, Genevieve Sayer, Laura Scelsi, Andrew M. Schaefer, Sol Schulman, Richard Scott, Marie Scully, Claire Searle, Werner Seeger, Arjune Sen, W. A. Carrock Sewell, Denis Seyres, Neil Shah, Susan E. Shapiro, Adam C. Shaw, Patrick J. Short, Keith Sibson, Lucy Side, Ilenia Simeoni, Michael A. Simpson, Matthew C. Sims, Suthesh Sivapalaratnam, Damian Smedley, Katherine R. Smith, Katie Snape, Nicole Soranzo, Florent Soubrier, Laura Southgate, Olivera Spasic-Boskovic, Simon Staines, Emily Staples, Charles A. Steward, Kathleen E. Stirrups, Alex Stuckey, Jay Suntharalingam, Emilia M. Swietlik, Petros Syrris, R. Campbell Tait, Kate Talks, Katie Tate, John M. Taylor, Jenny C. Taylor, James E. Thaventhiran, Ellen Thomas, David Thomas, Moira J. Thomas, Patrick Thomas, Kate Thomson, Glen Threadgold, Tobias Tilly, Marc Tischkowitz, Catherine Titterton, John A. Todd, Cheng-Hock Toh, Bas Tolhuis, Ian P. Tomlinson, Mark Toshner, Matthew Traylor, Carmen Treacy, Paul Treadaway, Richard Trembath, Wojciech Turek, Philip Twiss, Tom Vale, Chris Van Geet, Natalie van Zuydam, Maarten Vandekuilen, Anthony M. Vandersteen, Marta Vazquez-Lopez, Julie von Ziegenweidt, Anton Vonk-Noordegraaf, Annette Wagner, Quinten Waisfisz, Suellen M. Walker, Neil Walker, Klaudia Walter, James S. Ware, Christopher Watt, Lucy Wedderburn, Wei Wei, Steven B. Welch, Julie Wessels, Sarah K. Westbury, John-Paul Westwood, John Wharton, Deborah Whitehorn, Andrew O. M. Wilkie, Brian T. Wilson, Edwin K. S. Wong, Nicholas W. Wood, Yvette Wood, Christopher Geoffrey Woods, Emma R. Woodward, Stephen J. Wort, Austen Worth, Michael Wright, Katherine Yates, Patrick F. K. Yong, Timothy Young, Ping Yu, Patrick Yu-Wai-Man, Eliska Zlamalova:
Whole-genome sequencing of patients with rare diseases in a national health system. Nat. 583(7814): 96-102 (2020) - [c39]Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner:
Minority Reports Defense: Defending Against Adversarial Patches. ACNS Workshops 2020: 564-582 - [c38]Neil Shah, Sreeraj R, Maulik C. Madhavi, Nirmesh J. Shah, Hemant A. Patil:
Query-By-Example Spoken Term Detection Using Generative Adversarial Network. APSIPA 2020: 644-648 - [c37]Neil Shah, Dharmeshkumar M. Agrawal:
Impact of Minimum Hyperspherical Energy Regularization on Time-Frequency Domain Networks for Singing Voice Separation. APSIPA 2020: 727-733 - [c36]Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah:
Social Factors in Closed-Network Content Consumption. CIKM 2020: 595-604 - [c35]Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. COLING 2020: 3652-3659 - [c34]Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang:
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD 2020: 2269-2279 - [c33]Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
Semi-supervised Multi-aspect Detection of Misinformation Using Hierarchical Joint Decomposition. ECML/PKDD (5) 2020: 406-422 - [i22]Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David A. Wagner:
Minority Reports Defense: Defending Against Adversarial Patches. CoRR abs/2004.13799 (2020) - [i21]Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
HiJoD: Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition. CoRR abs/2005.04310 (2020) - [i20]Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang:
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR abs/2006.06427 (2020) - [i19]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. CoRR abs/2006.06830 (2020) - [i18]Neil Shah, Grant Ho, Marco Schweighauser, M. H. Afifi, Asaf Cidon, David A. Wagner:
A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts. CoRR abs/2007.14030 (2020) - [i17]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR abs/2010.01777 (2020) - [i16]Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves:
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. CoRR abs/2011.01196 (2020) - [i15]Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FAIROD: Fairness-aware Outlier Detection. CoRR abs/2012.03063 (2020)
2010 – 2019
- 2019
- [j7]Henry Kwang, Eric Mou, Ilana Richman, Andre Kumar, Caroline Berube, Rajani Kaimal, Neera Ahuja, Stephanie Harman, Tyler Johnson, Neil Shah, Ronald Witteles, Robert Harrington, Lisa Shieh, Jason Hom:
Thrombophilia testing in the inpatient setting: impact of an educational intervention. BMC Medical Informatics Decis. Mak. 19(1): 167:1-167:8 (2019) - [c32]Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru:
Characterizing and detecting livestreaming chatbots. ASONAM 2019: 683-690 - [c31]Hana Habib, Neil Shah, Rajan Vaish:
Impact of Contextual Factors on Snapchat Public Sharing. CHI 2019: 26 - [c30]Neil Shah:
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs. DSAA 2019: 337-350 - [c29]Hamed Nilforoshan, Neil Shah:
SliceNDice: Mining Suspicious Multi-Attribute Entity Groups with Multi-View Graphs. DSAA 2019: 351-363 - [c28]Hemank Lamba, Neil Shah:
Modeling Dwell Time Engagement on Visual Multimedia. KDD 2019: 1104-1113 - [c27]Richard Han, Neil Shah:
Cybersafety 2019: The 4th Workshop on Computational Methods in Online Misbehavior. WWW (Companion Volume) 2019: 146-147 - [i14]Hana Habib, Neil Shah, Rajan Vaish:
Impact of Contextual Factors on Snapchat Public Sharing. CoRR abs/1903.07033 (2019) - [i13]Hamed Nilforoshan, Neil Shah:
SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs. CoRR abs/1908.07087 (2019) - 2018
- [j6]Yike Liu, Tara Safavi, Neil Shah, Danai Koutra:
Reducing large graphs to small supergraphs: a unified approach. Soc. Netw. Anal. Min. 8(1): 17 (2018) - [c26]Neil Shah, Hemant A. Patil, Meet H. Soni:
Time-Frequency Mask-based Speech Enhancement using Convolutional Generative Adversarial Network. APSIPA 2018: 1246-1251 - [c25]Nirmesh J. Shah, R. Sreeraj, Neil Shah, Hemant A. Patil:
Novel Inter Mixture Weighted GMM Posteriorgram for DNN and GAN-based Voice Conversion. APSIPA 2018: 1776-1781 - [c24]Prasad A. Tapkir, Ankur T. Patil, Neil Shah, Hemant A. Patil:
Novel Spectral Root Cepstral Features for Replay Spoof Detection. APSIPA 2018: 1945-1950 - [c23]Gisel Bastidas Guacho, Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
Semi-supervised Content-Based Detection of Misinformation via Tensor Embeddings. ASONAM 2018: 322-325 - [c22]Meet H. Soni, Neil Shah, Hemant A. Patil:
Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network. ICASSP 2018: 5039-5043 - [c21]Neil Shah, Nirmesh J. Shah, Hemant A. Patil:
Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion. INTERSPEECH 2018: 3157-3161 - [c20]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
Beyond Outlier Detection: LookOut for Pictorial Explanation. ECML/PKDD (1) 2018: 122-138 - [c19]Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in e-Commerce Search. eCOM@SIGIR 2018 - [i12]Srijan Kumar, Neil Shah:
False Information on Web and Social Media: A Survey. CoRR abs/1804.08559 (2018) - [i11]Gisel Bastidas Guacho, Sara Abdali, Neil Shah, Evangelos E. Papalexakis:
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings. CoRR abs/1804.09088 (2018) - [i10]Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos:
Did We Get It Right? Predicting Query Performance in E-commerce Search. CoRR abs/1808.00239 (2018) - 2017
- [j5]Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher, Christos Faloutsos:
On Summarizing Large-Scale Dynamic Graphs. IEEE Data Eng. Bull. 40(3): 75-88 (2017) - [j4]Bryan Hooi, Kijung Shin, Hyun Ah Song, Alex Beutel, Neil Shah, Christos Faloutsos:
Graph-Based Fraud Detection in the Face of Camouflage. ACM Trans. Knowl. Discov. Data 11(4): 44:1-44:26 (2017) - [c18]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA 2017: 341-350 - [c17]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
The Many Faces of Link Fraud. ICDM 2017: 1069-1074 - [c16]Neil Shah:
FLOCK: Combating Astroturfing on Livestreaming Platforms. WWW 2017: 1083-1091 - [i9]Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos:
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. CoRR abs/1704.01420 (2017) - [i8]Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector. CoRR abs/1710.05333 (2017) - 2016
- [j3]Danai Koutra, Neil Shah, Joshua T. Vogelstein, Brian Gallagher, Christos Faloutsos:
DeltaCon: Principled Massive-Graph Similarity Function with Attribution. ACM Trans. Knowl. Discov. Data 10(3): 28:1-28:43 (2016) - [c15]Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos:
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops 2016: 327-334 - [c14]Bryan Hooi, Hyun Ah Song, Alex Beutel, Neil Shah, Kijung Shin, Christos Faloutsos:
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. KDD 2016: 895-904 - [c13]Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos:
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM 2016: 495-503 - [i7]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel, and Anomaly Detection in Web Searches. CoRR abs/1606.05978 (2016) - [i6]Neil Shah:
FLOCK: Combating Astroturfing on Livestreaming Platforms. CoRR abs/1610.01096 (2016) - 2015
- [c12]Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos:
TimeCrunch: Interpretable Dynamic Graph Summarization. KDD 2015: 1055-1064 - [c11]Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Christos Faloutsos, Athena Vakali:
Retweeting Activity on Twitter: Signs of Deception. PAKDD (1) 2015: 122-134 - [c10]Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Alex Beutel, Christos Faloutsos, Athena Vakali:
ND-Sync: Detecting Synchronized Fraud Activities. PAKDD (2) 2015: 201-214 - [i5]