Vijay Prakash Dwivedi

29 papers A* 5A 1Journal 17Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models.
CoRR
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik, Vijay Prakash Dwivedi, Johannes Hoffart, Carlos Guestrin, Jure Leskovec
2025 — conf
Large Language Models are Good Relational Learners.
ACL (1)
Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec
2025 J jnl
Large Language Models are Good Relational Learners.
CoRR
Fang Wu, Vijay Prakash Dwivedi, Jure Leskovec
2025 A* conf
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.
AAAI
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler
2025 — conf
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures.
KDD (2)
Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec
2025 J jnl
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures.
CoRR
Vijay Prakash Dwivedi, Charilaos I. Kanatsoulis, Shenyang Huang, Jure Leskovec
2025 J jnl
Relational Graph Transformer.
CoRR
Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico López, Charilaos I. Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec
2025 — conf
Representation Learning of Structured Data for Medical Foundation Models.
UniReps
Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan
2025 — conf
uMedSum: A Unified Framework for Clinical Abstractive Summarization.
ACL (1)
Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan
2024 — conf
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.
ACL (Findings)
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
2024 J jnl
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.
CoRR
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
2024 J jnl
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.
CoRR
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler
2024 J jnl
Representation Learning of Structured Data for Medical Foundation Models.
CoRR
Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan
2024 A* conf
Union Subgraph Neural Networks.
AAAI
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
2024 J jnl
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization.
CoRR
Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan
2023 J jnl
Automated Clinical Coding for Outpatient Departments.
CoRR
Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler
2023 J jnl
Benchmarking Graph Neural Networks.
J. Mach. Learn. Res.
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2023 J jnl
Graph Transformers for Large Graphs.
CoRR
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
2023 J jnl
Union Subgraph Neural Networks.
CoRR
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
2022 A* conf
Graph Neural Networks with Learnable Structural and Positional Representations.
ICLR
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2022 A* conf
Long Range Graph Benchmark.
NeurIPS
Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 J jnl
Long Range Graph Benchmark.
CoRR
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 A* conf
Recipe for a General, Powerful, Scalable Graph Transformer.
NeurIPS
Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 J jnl
Recipe for a General, Powerful, Scalable Graph Transformer.
CoRR
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2021 J jnl
Graph Neural Networks with Learnable Structural and Positional Representations.
CoRR
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2021 A conf
Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network.
IROS
Niraj Bhujel, Wei-Yun Yau, Han Wang, Vijay Prakash Dwivedi
2020 J jnl
A Generalization of Transformer Networks to Graphs.
CoRR
Vijay Prakash Dwivedi, Xavier Bresson
2020 J jnl
Benchmarking Graph Neural Networks.
CoRR
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
2017 — conf
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space.
ICON
Vijay Prakash Dwivedi, Manish Shrivastava