Breaking the Reasoning Horizon in Entity Alignment Foundation Models

arXiv:2601.21174 · cs.LG · Submitted 2026-01-29 · Read on arXiv

cs.LG

Submitted: 2026-01-29

Updated: 2026-09-01

Terminology

• Alignment — 50× in this paper · explained in 1 episode
• Knowledge Graph — 23× in this paper · explained in 7 episodes
• Foundation Model — 20× in this paper · explained in 3 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Embeddings — 18× in this paper · explained in 2 episodes
• Transferability — 12× in this paper · explained in 4 episodes
• Knowledge graphs — 10× in this paper · explained in 2 episodes
• Foundation Models — 9× in this paper · explained in 7 episodes
• Graph Construction — 8× in this paper · explained in 3 episodes
• Generalizability — 5× in this paper · explained in 6 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Generalization — 4× in this paper · explained in 13 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Core — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Alignment Pre-training — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs

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