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1. kg-structure-as-prompt kg-structure-as-prompt Public

   Supplementary materials: KG Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery (ISWC'24)

   Python 2

2. path-to-causality path-to-causality Public

   Supplementary materials: Paths to Causality: Finding Informative Subgraphs within Knowledge Graphs for Knowledge-based Causal Discovery

   Python

3. causal-ceg causal-ceg Public

   Supplementary materials: Causal-Evidence Graph for Causal Relation Classification (SAC, 2024)

   Python

4. causal-llm causal-llm Public

   Supplementary materials: Prompt-based vs. Fine-tuned LLMs Toward Causal Graph Verification

   Python

5. seq2seq-learning-for-machine-translation seq2seq-learning-for-machine-translation Public

   (minimal implementation) Seq2Seq models (Machine translation task, Japanese-English)

   Python 5

6. davidlamprecht/AutoRDF2GML davidlamprecht/AutoRDF2GML Public

   AutoRDF2GML is a novel framework that semi-automatically transforms RDF data into heterogeneous graph datasets suitable for graph-based machine learning such as graph neural network (GNNs).

   Python 11 3