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Viktor Prasanna — most-cited papers & profile · AI for Code
← authors
·
overview
Viktor Prasanna
19
papers ·
73
citations ·
10
h-index
University of Southern California · California Southern University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Decoupling the Depth and Scope of Graph Neural Networks
2022 · 54 citations
Deep Graph Neural Networks with Shallow Subgraph Samplers
2020 · 13 citations
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
2025 · 5 citations
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
2022 · 1 citations
Accurate and Resource-Efficient Federated Continual Learning
2026
SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning
2026
SWE-Milestone: Evaluating AI Agents on Continuous Software Evolution
2026
Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning
2026
TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations
2025
Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study
2025
LocAgent: Graph-Guided LLM Agents for Code Localization
2025
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say
2025
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning
2025
Characterizing Speed Performance of Multi-Agent Reinforcement Learning
2023
Topics
Multi-Agent
cs.LG
GNN Architectures
Theory & Expressivity
Evaluation
Efficiency
Benchmarks
Model Architecture
Training Techniques
Code Agents