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Rajgopal Kannan — most-cited papers & profile · Generative Models
← authors
·
overview
Rajgopal Kannan
16
papers ·
5
citations ·
23
h-index
United States Department of the Army
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
2025 · 5 citations
ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models
2026
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say
2025
RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion
2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
2025
Accurate, Efficient and Scalable Graph Embedding
2018
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings
2021
Characterizing Speed Performance of Multi-Agent Reinforcement Learning
2023
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
2024
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
2024
Top co-authors
Dhruv Parikh
· 1
Jacob Fein-Ashley
· 1
Viktor Prasanna
· 1
Topics
cs.LG
Multi-Agent
GNN Architectures
Evaluation
Benchmarks
Vision-Language Models
Video-Language
RAG
Efficiency
Model Architecture