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Found 2 papers, 2 papers with code
Text-Guided Molecule Generation with Diffusion Language Model
In this work, we propose the Text-Guided Molecule Generation with Diffusion Language Model (TGM-DLM), a novel approach that leverages diffusion models to address the limitations of autoregressive methods.
Ranked #6 on
Text-based de novo Molecule Generation
on ChEBI-20
Language Modelling
Text-based de novo Molecule Generation
+1
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
To address this, we propose a novel word-level Heterogeneous-graph-based model for Fact Checking over unstructured and structured information, namely HeterFC.
