Edward W. Huang

According to our database, Edward W. Huang authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.

Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun

CoRR, 2024

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.

Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian

CoRR, 2024

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training.

Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce.

Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets.

Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.

Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Trans. Mach. Learn. Res., 2023

Communication-Free Distributed GNN Training with Vertex Cut.

Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec

CoRR, 2023

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation.

Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra

CoRR, 2023

Search Behavior Prediction: A Hypergraph Perspective.

Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.

Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec

CoRR, 2022

Task-Agnostic Graph Explanations.

Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Tissue-guided LASSO for prediction of clinical drug response using preclinical samples.

Edward W. Huang, Ameya Bhope, Jing Lim, Saurabh Sinha, Amin Emad

PLoS Comput. Biol., 2020

2019

Integrating heterogeneous data into electronic medical record analysis

Edward W. Huang

PhD thesis, 2019

Identification of pathways associated with chemosensitivity through network embedding.

Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha

PLoS Comput. Biol., 2019

2018

Annotating gene sets by mining large literature collections with protein networks.

Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

VisAGE: Integrating external knowledge into electronic medical record visualization.

Edward W. Huang, Sheng Wang, ChengXiang Zhai

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis.

Edward W. Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Framing Electronic Medical Records as Polylingual Documents in Query Expansion.

Edward W. Huang, Sheng Wang, Doris J. Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the AMIA 2017, 2017

2016

A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records.

Sheng Wang, Edward W. Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine.

Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016