Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"meta-path"”.
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AsymSim: meta path-based similarity with asymmetric relations
… networks by introducing the concept of meta paths, or paths that connect object types via a sequence of relations. These meta path-based similarity measures can capture the subtlety of peer similarity for paths containing symmetric edges, but real data contains asymmetric relations that …
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Probabilistic interpretation of path-based relevance in heterogeneous information networks
… by the probabilistic interpretation of existing path-based relevance measures, we propose to study HIN relevance from a probabilistic perspective. We also identify, from real-world data, and propose to model cross-meta-path synergy, which is a characteristic important for defining path-based HIN …
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Mining heterogeneous information networks
… including (1) ranking-based clustering, (2) meta-path-based similarity search and mining, (3) user-guided relation strength-aware mining, and many other potential developments. This thesis introduces this new research frontier and points out some promising research directions.
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Publication venue recommendation in heterogeneous information networks
… often use full texts, abstracts along with other meta data. The main challenge, for this line of works, is to resolve topic ambiguity because many venues share similar topics and topics evolve over time. Another line of works are network-based approaches, which make recommendations using co-author …
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Leveraging heterogeneous information networks for personalized entity recommendation
… information networks. We begin by introducing meta-path-based latent features, which capture the connectivity of entities in the network along different paths, giving us a foundation which explicitly accounts for the heterogeneous nature of the task. Upon this foundation we build a global …
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Relation2vec: Contextualized network embedding for heterogeneous information networks
… and edges. Our method leverages the idea of meta-path, which allows a high-level abstraction of paths and denotes complex relationships among the nodes, to provide context for the nodes in the network, and then utilizes DNN, specifically, bi-directional long short-term memory, to encode the …
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Structure-aware Deep Learning
… graph neural networks operating on complex meta-information enriched graphs. Additionally, we explore methods for the integration of intermediary expressions in strongly typed heterogeneous graphs, improving prediction via meta-path-based processing. We also develop methods for automated …