MESH integrates a GCN-based structural encoder with a frozen LLM-based semantic encoder via gated expert modules that adapt to historical and non-historical events, achieving modest gains on ICEWS14 and ICEWS18.
InFindings of the Association for Computa- tional Linguistics: NAACL 2024, pages 4303–4317
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
MESH integrates a GCN-based structural encoder with a frozen LLM-based semantic encoder via gated expert modules that adapt to historical and non-historical events, achieving modest gains on ICEWS14 and ICEWS18.