3 papers
cs.AI2025
StarCraft+: Benchmarking Multi-agent Algorithms in Adversary Paradigm
Yadong Li, Tong Zhang, Bo Huang +1
Deep multi-agent reinforcement learning (MARL) algorithms are booming in the field of collaborative intelligence, and StarCraft multi-agent challenge (SMAC) is widely-used as the b…
cs.LG2025
GraphTorque: Torque-Driven Rewiring Graph Neural Network
Sujia Huang, Lele Fu, Zhen Cui +3
Graph Neural Networks (GNNs) have emerged as powerful tools for learning from graph-structured data, leveraging message passing to diffuse information and update node representatio…
cs.AI2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
Yide Qiu, Shaoxiang Ling, Tong Zhang +2
Irregular data in real-world are usually organized as heterogeneous graphs (HGs) consisting of multiple types of nodes and edges. To explore useful knowledge from real-world data,…