SNAP-KG: Streaming Node Assignment via Projection for Knowledge Graph Entity Integration

arXiv:2608.25149 · cs.LG · Submitted 2026-08-25 · Read on arXiv

cs.LG

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/ryanjclin/SNAP-KG

Terminology

• Clustering — 54× in this paper · explained in 2 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Embeddings — 15× in this paper · explained in 2 episodes
• Knowledge Graph — 14× in this paper · explained in 7 episodes
• Distillation — 9× in this paper · explained in 2 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Adjacency Matrix — 5× in this paper · explained in 1 episode
• Graph Construction — 5× in this paper · explained in 3 episodes
• Representation Learning — 5× in this paper · explained in 2 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• GNNs — 3× in this paper · explained in 2 episodes
• Knowledge Distillation — 3× in this paper · explained in 11 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptive Graph — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation Function — 1× in this paper · explained in 1 episode
• Approximate Nearest Neighbor — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Graph Neural Network — 1× in this paper
• Graph Neural Network (GNN) — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Matrix Completion — 1× in this paper · explained in 4 episodes
• Multi-Layer Perceptron — 1× in this paper

Sources

• Graph Attention Networks
• Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
• TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

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