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Publication search results
found 246 matches
- 2024
- 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) - Neil Kumar Shah, Saiteja Kosgi, Vishal Tambrahalli, Neha Sahipjohn, Anil Nelakanti, Vineet Gandhi:
ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations. EACL (Findings) 2024: 79-91 - Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang:
Neural Scaling Laws on Graphs. CoRR abs/2402.02054 (2024) - 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) - Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang:
LLaGA: Large Language and Graph Assistant. CoRR abs/2402.08170 (2024) - 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) - 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) - 2023
- 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) - Xiaoheng Deng, Jian Yin, Peiyuan Guan, Neal N. Xiong, Lan Zhang, Shahid Mumtaz:
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing. IEEE Internet Things J. 10(4): 2954-2966 (2023) - Abhinav Agarwal, Jatin Hansrani, Sam Bagwell, Oleksandr Rytov, Varun Shah, Kai Ling Ong, Daniel Van Blerkom, Jonathan Bergey, Neil Kumar, Tim Lu, Deanan DaSilva, Michael Graae, David Dibble:
A 316MP, 120FPS, High Dynamic Range CMOS Image Sensor for Next Generation Immersive Displays. Sensors 23(20): 8383 (2023) - Ziying Ni, Ayesha Khalid, Dur-e-Shahwar Kundi, Máire O'Neill, Weiqiang Liu:
HPKA: A High-Performance CRYSTALS-Kyber Accelerator Exploring Efficient Pipelining. IEEE Trans. Computers 72(12): 3340-3353 (2023) - 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 - Neha Sahipjohn, Neil Kumar Shah, Vishal Tambrahalli, Vineet Gandhi:
RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations. APSIPA ASC 2023: 1492-1499 - Neil Kumar Shah, Vivek Srivastava, Mohit Bhardwaj, Satej Kadlay, Dharmeshkumar Agrawal, Savita Bhat, Niranjan Pedanekar:
It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data. APSIPA ASC 2023: 1972-1977 - Abubakar Siddique, Muhammad Iqbal, Shahab Din, Will N. Browne:
Attention in Rule-Based Machine Learning: Exploiting Learning Classifier Systems' Generalization for Image Classification. GECCO Companion 2023: 323-326 - Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR 2023 - Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR 2023 - 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 - William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. ICLR 2023 - Rishav Chourasia, Neil Shah:
Forget Unlearning: Towards True Data-Deletion in Machine Learning. ICML 2023: 6028-6073 - 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 - 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 - Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi:
Sketch-Based Anomaly Detection in Streaming Graphs. KDD 2023: 93-104 - Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu:
19th International Workshop on Mining and Learning with Graphs (MLG). KDD 2023: 5882-5883 - 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 - 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 - Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye:
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS 2023 - 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 - 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 - Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023
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