Vijay Prakash Dwivedi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Reading Comprehension

Graph Representations

Influencing Factors

Top Venues

Publications

Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. CoRR (2024)
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
Union Subgraph Neural Networks. AAAI (2024)
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. ACL (Findings) (2024)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
Graph Transformers for Large Graphs. CoRR (2023)
Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler
Automated Clinical Coding for Outpatient Departments. CoRR (2023)
Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke
Union Subgraph Neural Networks. CoRR (2023)
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Long Range Graph Benchmark. CoRR (2022)
Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Long Range Graph Benchmark. NeurIPS (2022)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. ICLR (2022)
Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Recipe for a General, Powerful, Scalable Graph Transformer. NeurIPS (2022)
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Recipe for a General, Powerful, Scalable Graph Transformer. CoRR (2022)
Niraj Bhujel, Wei-Yun Yau, Han Wang, Vijay Prakash Dwivedi
Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network. IROS (2021)
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Neural Networks with Learnable Structural and Positional Representations. CoRR (2021)
Vijay Prakash Dwivedi, Xavier Bresson
A Generalization of Transformer Networks to Graphs. CoRR (2020)
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Benchmarking Graph Neural Networks. CoRR (2020)
Vijay Prakash Dwivedi, Manish Shrivastava
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space. ICON (2017)