Research map / Graph learning / Knowledge and temporal graphs
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Condition graph traversal on the query relation and search paths with reinforcement learning instead of using randomly sampled paths | MINERVA versus Path-Baseline · WN18RR | MRR: 0.027 -> 0.448 | Helped |
| Condition graph traversal on the query relation and search paths with reinforcement learning instead of using randomly sampled paths | MINERVA versus Path-Baseline · FB15k-237 | MRR: 0.227 -> 0.293 | Helped |
| Condition graph traversal on the query relation and search paths with reinforcement learning instead of using randomly sampled paths | MINERVA versus Path-Baseline · NELL-995 | MRR: 0.371 -> 0.725 | Helped |
| Add path-history memory to the policy (ablation) | MINERVA · FB15k-237 | Hits@10: 0.408 -> 0.456 | Helped |
| Add path-history memory to the policy (ablation) | MINERVA · Kinship | Hits@1: 27% points decrease without history | Helped |
| Initialize MINERVA with pretrained ComplEx embeddings (ablation) | MINERVA · Kinship and UMLS | performance | No clear effect |
Closest papers by meaning
- When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning (NeurIPS 2025 · similarity 0.87)
- Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration (AAAI 2025 · similarity 0.87)
- Knowledge-Graph Paths as Intermediate Supervision for Self-Evolving Search Agents (NeurIPS 2026 · similarity 0.86)
- Reasoning of Large Language Models over Knowledge Graphs with Super-Relations (ICLR 2025 · similarity 0.86)
- Systematic Relational Reasoning With Epistemic Graph Neural Networks (ICLR 2025 · similarity 0.86)
- Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors (ICLR 2024 · similarity 0.85)
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