ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 1 (100%) | 1.50 |
| 30-50% | 0 (0%) | N/A |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 0 (0%) | N/A |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 1.50 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Adaptive Drug-Drug Interaction Prediction via Gauge-Aware Graph Representation and Distribution Alignment | We re-study drug-drug interaction (DDI) prediction under the conditions of data scarcity and distribution shift. In this paper, we propose a practical framework that links a compact gauge-aware graph ... | 1.50 | 20% | See Reviews | View AI Dashboard |