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Postdoctoral Scholar in Computer Science
,
Stanford University
2024–
Publications
(16)
Benchmarking Graph Neural Networks
Journal of machine learning research · 2023
1,113
cited
A Generalization of Transformer Networks to Graphs
arXiv.org · 2020
983
cited
Recipe for a General, Powerful, Scalable Graph Transformer
Neural Information Processing Systems · 2022
854
cited
Graph Neural Networks with Learnable Structural and Positional Representations
International Conference on Learning Representations · 2021
433
cited
Long Range Graph Benchmark
Neural Information Processing Systems · 2022
289
cited
Graph Transformers for Large Graphs
arXiv.org · 2023
12
cited
Union Subgraph Neural Networks
AAAI Conference on Artificial Intelligence · 2023
11
cited
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space
ICON · 2017
8
cited
Relational Graph Transformer
arXiv.org · 2025
8
cited
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
Knowledge Discovery and Data Mining · 2025
7
cited
Gender Classification of Blog Authors: With Feature Engineering and Deep Learning using LSTM Networks
International Conference on Advanced Computing · 2017
5
cited
Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network
IEEE/RJS International Conference on Intelligent RObots and Systems · 2021
5
cited
Large Language Models are Good Relational Learners
Annual Meeting of the Association for Computational Linguistics · 2025
4
cited
Deep learning for graph structured data
2
cited
PhD proposal: Graph Transformers, Deep Reinforcement Learning and Combinatorial Optimization
2023
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
2026
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Vijay Prakash Dwivedi | Researcher Profile | Sotabase | Sotabase