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2020 – today
- 2024
[j14]Diego Gómez-Zará
, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos:
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150: 108014 (2024)- [j13]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [c93]Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri:
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. ACL (Short Papers) 2024: 398-408 - [c92]Tong Zhao, Neil Shah, Elham Ghazizadeh:
Learning from Graphs Beyond Message Passing Neural Networks. Tiny Papers @ ICLR 2024 - [c91]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR 2024 - [c90]Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Revisiting Link Prediction: a data perspective. ICLR 2024 - [c89]Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. ICML 2024 - [c88]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Position: Graph Foundation Models Are Already Here. ICML 2024 - [c87]Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou:
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD 2024: 6718-6719 - [c86]Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman:
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. SIGIR 2024: 2930-2934 - [i61]Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang:
Neural Scaling Laws on Graphs. CoRR abs/2402.02054 (2024) - [i60]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Graph Foundation Models. CoRR abs/2402.02216 (2024) - [i59]Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. CoRR abs/2402.08170 (2024) - [i58]Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla:
Node Duplication Improves Cold-start Link Prediction. CoRR abs/2402.09711 (2024) - [i57]William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu:
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR abs/2403.18280 (2024) - [i56]Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao:
How Does Message Passing Improve Collaborative Filtering? CoRR abs/2404.08660 (2024) - [i55]Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri:
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. CoRR abs/2406.04106 (2024) - [i54]Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra:
Multimodal Graph Benchmark. CoRR abs/2406.16321 (2024) - [i53]Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu:
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. CoRR abs/2409.14682 (2024) - [i52]Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu:
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks. CoRR abs/2410.05416 (2024) - [i51]Neil Shah:
Hybrid-DAOs: Enhancing Governance, Scalability, and Compliance in Decentralized Systems. CoRR abs/2410.21593 (2024) - [i50]Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju:
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. CoRR abs/2410.23300 (2024) - 2023
- [j12]Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46(2): 140-165 (2023) - [c85]Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) 2023: 10696-10711 - [c84]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR 2023 - [c83]Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR 2023 - [c82]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. ICLR 2023 - [c81]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. ICLR 2023 - [c80]Rishav Chourasia, Neil Shah:
Forget Unlearning: Towards True Data-Deletion in Machine Learning. ICML 2023: 6028-6073 - [c79]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. ICML 2023: 12012-12033 - [c78]Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos:
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM 2023: 47-58 - [c77]Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi:
Sketch-Based Anomaly Detection in Streaming Graphs. KDD 2023: 93-104 - [c76]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD 2023: 2036-2048 - [c75]Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu:
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD 2023: 5835-5836 - [c74]Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu:
19th International Workshop on Mining and Learning with Graphs (MLG). KDD 2023: 5882-5883 - [c73]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS 2023 - [c72]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS 2023 - [c71]Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 - [c70]Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu:
Embedding Based Retrieval in Friend Recommendation. SIGIR 2023: 3330-3334 - [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 - [i49]Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR abs/2306.01323 (2023) - [i48]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR abs/2306.06936 (2023) - [i47]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR abs/2306.10453 (2023) - [i46]Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Revisiting Link Prediction: A Data Perspective. CoRR abs/2310.00793 (2023) - [i45]Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR abs/2310.00800 (2023) - [i44]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. CoRR abs/2310.04612 (2023) - [i43]Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao:
Graph Transformers for Large Graphs. CoRR abs/2312.11109 (2023) - 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. H. 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. 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