## Pie Charts: Comparative Analysis of KG Approaches Across Metrics ### Overview The image contains three pie charts comparing the distribution of three knowledge graph (KG) approaches across different metrics: CWQ(%), WebQSP(%), and GrailQA(%). Each chart uses three color-coded segments to represent: - **KG Only** (blue) - **LLM Inspired KG** (green) - **KG Inspired LLM** (gray) ### Components/Axes - **Legend**: Located at the bottom-right corner, mapping colors to categories. - **Chart Labels**: - Top-left: Metric name (e.g., "CWQ(%)") - Bottom-left: Dominant category percentage (e.g., "77") - **Segments**: Each chart divided into three proportional sections with embedded percentage labels. ### Detailed Analysis #### CWQ(%) - **KG Only**: 77% (blue, largest segment) - **LLM Inspired KG**: 7% (green, smallest segment) - **KG Inspired LLM**: 14% (gray, intermediate segment) #### WebQSP(%) - **KG Only**: 87% (blue, largest segment) - **LLM Inspired KG**: 2% (green, smallest segment) - **KG Inspired LLM**: 10% (gray, intermediate segment) #### GrailQA(%) - **KG Only**: 92% (blue, largest segment) - **LLM Inspired KG**: 1% (green, smallest segment) - **KG Inspired LLM**: 6% (gray, intermediate segment) ### Key Observations 1. **KG Only Dominance**: - Consistently the largest segment across all metrics (77–92%). - Shows a clear upward trend from CWQ(%) to GrailQA(%). 2. **LLM Inspired KG Decline**: - Drops from 7% (CWQ) to 1% (GrailQA), indicating reduced relevance or adoption. 3. **KG Inspired LLM Stability**: - Decreases moderately from 14% (CWQ) to 6% (GrailQA), suggesting partial but declining utility. ### Interpretation The data suggests **KG Only** is the most effective or widely adopted approach across all metrics, with its dominance increasing as the metric complexity or specificity rises (CWQ → GrailQA). **LLM Inspired KG** shows a sharp decline, possibly due to limitations in handling structured KG tasks. **KG Inspired LLM** maintains a moderate presence but decreases slightly, indicating it may serve niche roles that diminish with higher metric specificity. The stark contrast between KG Only and other approaches highlights a potential trade-off between simplicity and performance in KG systems.