Multi-view hypergraph convolution network for semantic annotation in LBSNs

Dubey, Manisha; Srijith, P. K.; Desarkar, Maunendra Sankar

doi:10.1145/3487351.3488341

Cited by 1 publication

(1 citation statement)

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“…Previous researchers have made extensive efforts in friendship inference based on LBSNs, and propose several research models including manual feature-based [5] [9] [17] [3], random walk-based [1], RNN-based [23], GCN-based [20], and hypergraph-based [10] [21] [6]. These studies are mainly focusing on co-regional friendship inference based on the pairwise co-location in the mobility records.…”

Section: Introductionmentioning

confidence: 99%

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding

Ren

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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This paper proposes a novel problem of crossregional friendship inference to solve the geographically restricted friends recommendation. Traditional approaches rely on a fundamental assumption that friends tend to be co-location, which is unrealistic for inferring friendship across regions. By reviewing a large-scale Location-based Social Networks (LBSNs) dataset, we spot that cross-regional users are more likely to form a friendship when their mobility neighbors are of high similarity.To this end, we propose Category-Aware Multi-Bipartite Graph Embedding (CMGE for short) for cross-regional friendship inference. We first utilize multi-bipartite graph embedding to capture users' Point of Interest (POI) neighbor similarity and activity category similarity simultaneously, then the contributions of each POI and category are learned by a category-aware heterogeneous graph attention network. Experiments on the real-world LBSNs datasets demonstrate that CMGE outperforms state-of-the-art baselines.

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Section: Introductionmentioning

confidence: 99%

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding

Ren

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

View full text Add to dashboard Cite

show abstract

Multi-view hypergraph convolution network for semantic annotation in LBSNs

Cited by 1 publication

References 12 publications

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding

Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding

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