Vijay Prakash Dwivedi

According to our database, Vijay Prakash Dwivedi authored at least 19 papers between 2017 and 2025.

Collaborative distances:

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

2025

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures.

Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec

CoRR, June, 2025

Relational Graph Transformer.

Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico López, Charilaos I. Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec

CoRR, May, 2025

Representation Learning of Structured Data for Medical Foundation Models.

Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan

Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Large Language Models are Good Relational Learners.

Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

uMedSum: A Unified Framework for Clinical Abstractive Summarization.

Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.

Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization.

Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan

CoRR, 2024

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.

Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Union Subgraph Neural Networks.

Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Benchmarking Graph Neural Networks.

Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson

J. Mach. Learn. Res., 2023

Automated Clinical Coding for Outpatient Departments.

Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler

CoRR, 2023

Graph Transformers for Large Graphs.

Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao

CoRR, 2023

2022

Recipe for a General, Powerful, Scalable Graph Transformer.

Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini

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

Long Range Graph Benchmark.

Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini

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

Graph Neural Networks with Learnable Structural and Positional Representations.

Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network.

Niraj Bhujel, Wei-Yun Yau, Han Wang, Vijay Prakash Dwivedi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

A Generalization of Transformer Networks to Graphs.

Vijay Prakash Dwivedi, Xavier Bresson

CoRR, 2020

Benchmarking Graph Neural Networks.

Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson

CoRR, 2020

2017

Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space.

Vijay Prakash Dwivedi, Manish Shrivastava

Proceedings of the 14th International Conference on Natural Language Processing, 2017