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1. causal-qa-rl causal-qa-rl Public

   We answer binary causal questions with a causality graph, a large-scale dataset of causal relations between noun phrases along with the relations' provenance data.

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2. EDGE EDGE Public

   EDGE, "Evaluation of Diverse Knowledge Graph Explanations", is a framework to benchmark diverse explanations (e.g., subgraph vs logical) for node classification in knowledge graphs.

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3. CQD-SHAP CQD-SHAP Public

   CQD-SHAP: Explainable Complex Query Answering with Shapley Values

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4. xgnn-dl xgnn-dl Public

   We propose to use Class Expressions to explain a GNN. For this, we search the CE, which is valid for graphs which maximize a given GNN.

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5. NLEF NLEF Public

   NLEF, "Natural Language Evaluation Framework", is a framework to benchmark natural language explanations for node classification in knowledge graphs.

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6. DiGNNExplainer DiGNNExplainer Public

   In the paper, Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features, we explain GNNs on a model-level by synthetically generating explanation graphs with node fe…

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