Papers

• GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction (2025)
  Jian Zhang et al.
  5.40
• A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks (2026)
  Tal Weissblat
  1.94
• On Semiotic-Grounded Interpretive Evaluation of Generative Art (2026)
  Ruixiang Jiang et al.
  1.83
• Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers (2025)
  Markus J. Buehler
  1.28
• Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks (2025)
  Hongyuan Tao et al.
  1.28
• LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters (2024)
  Xinyu Zhou et al.
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• CRAG -- Comprehensive RAG Benchmark (2024)
  Xiao Yang et al.
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• Iterative Graph Alignment (2024)
  Fangyuan Yu et al.
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• Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning (2024)
  Gang Liu et al.
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