… networking embedding based methods, this paper proposes a meta-graph embedding method
for item recommendation … Specifically, we first extend the meta-path to the meta-graph to …

… Specifically, we run experiments to compare RMSE of each metagraph in Figures 4 and 5.
The RMSE of each metagraph is shown in Figure 9. Note that we show for comparison the …

… 45] have been proposed to employ heterogeneous information network to model the interactive
local relations to address early summarization problem. With the help of meta-path, Jin et …

… method to predict ratings, which can flexibly integrate heterogeneous information through …
observed ratings to effectively select useful meta-graph based features for rating prediction. …

… In this paper, we proposed a recommendation method over Heterogeneous Information
Networks (HINs), named MGBE. MGBE learns the semantic representations of meta-graphs and …

… We conduct extensive experiments on three large real-world heterogeneous information
networks to verify the advantages of our algorithm. As indicated by experimental results, our …

… model over heterogeneous information network for personalized recommendation. In: …
Zhao H, Yao Q, Li J, Song Y, Lee D (2017) Meta-graph based recommendation fusion over …

… information extraction more complete, we propose a dual-view fusion heterogeneous information
network … In the recursive meta-graph G, we designate the layer of each node n ∈ N∞ …

… concepts related to heterogeneous information networks and present our task in Section 3.
On this basis, we describe our approach in … Meta-graph based recommendation fusion over …

… In the past decade, the heterogeneous information network (HIN) has become an important
… Metagraph based recommendation fusion over heterogeneous information networks. In …