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cs.LG2026
Blackknife: Query-Free Black-Box Rewiring Attacks on Heterogeneous Graph Neural Networks
Honglin Gao, Junhao Ren, Lan Zhao +4
Heterogeneous graph neural networks (HGNNs) perform well on graphs with multiple node and relation types, but their robustness to attacks with restricted structural access remains…
cs.MA2026
Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
Junhao Ren, Honglin Gao, Lan Zhao +3
Uncertainties in renewable generation and demand dynamics challenge day-ahead scheduling. To enhance renewable penetration and maintain intra-day balance, we develop a multi-agent…
cs.MA2026
Multi-agent Reinforcement Learning-based Joint Design of Low-Carbon P2P Market and Bidding Strategy in Microgrids
Junhao Ren, Honglin Gao, Sijie Wang +5
The challenges of the uncertainties in renewable energy generation and the instability of the real-time market limit the effective utilization of clean energy in microgrid communit…