Graph Embedding
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Benchmarks
Barabasi-Albert
Most implemented
Graph Attention Networks
Inductive Relation Prediction by Subgraph Reasoning
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Poincaré Embeddings for Learning Hierarchical Representations
LINE: Large-scale Information Network Embedding
Papers
Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding
Graph autoencoders (GAEs) are widely used for learning representations of dynamic graphs. However, their optimisation objectives typically do not take structural heterogeneity across nodes into account. We propose three …
Graph EmbeddingXGRVFL-MV: Residual-Coupled Graph-Embedded Multi-View Random Vector Functional Link Network with FleXi Guardian Loss
Random Vector Functional Link (RVFL) networks provide an efficient randomized learning framework for classification. Existing multi-view RVFL methods utilize complementary information from multiple views. However, preser…
Graph EmbeddingIntuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
Random Vector Functional Link (RVFL) networks are popular due to their fast training and universal approximation capabilities. However, RVFL models face challenges in preserving geometric relationships and utilizing mult…
Graph EmbeddingAGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
GraphRAG is an extension of retrieval-augmented generation (RAG) that supports large language models (LLMs) by referring to graph-structured data as external knowledge. While this technique ideally captures intricate rel…
Self-Supervised LearningGraph EmbeddingFeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
Graph embedding maps graph nodes into low-dimensional vectors to support applications such as recommendation, fraud detection, and graph-based retrieval-augmented generation (GraphRAG). As graphs scale to billions of edg…
Fraud DetectionGraph EmbeddingImplicit Semantic-Aware Communication Based on Hypergraph Reasoning
Semantic-aware communication has emerged as a transformative paradigm for next-generation communication systems, shifting the fundamental goal from transmitting bit-level symbols to reliably recovering and understanding …
Graph Embedding