Scalable GNN-based Knowledge Graph Representation Learning with Efficient Message Passing

arXiv:2609.34499 · cs.LG, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/boschresearch/relational-message-passing

Terminology

• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• PyTorch-BigGraph: A Large-scale Graph Embedding System
• Inductive Representation Learning on Large Graphs
• Embedding Entities and Relations for Learning and Inference in Knowledge Bases
• Complex Embeddings for Simple Link Prediction
• Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
• Modeling Relational Data with Graph Convolutional Networks
• LargeEA: Aligning Entities for Large-scale Knowledge Graphs
• RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
• Holographic Embeddings of Knowledge Graphs
• Convolutional 2D Knowledge Graph Embeddings
• Composition-based Multi-Relational Graph Convolutional Networks
• KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
• KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
• r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
• AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
• NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
• A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
• Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction
• StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
• GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

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