Kuansan Wang
4 papers in the PaperMetrix corpus
Papers by this author
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A Web-scale system for scientific knowledge exploration
2018 · arXiv (Cornell University)
To enable efficient exploration of Web-scale scientific knowledge, it is necessary to organize scientific publications into a hierarchical concept structure. In this work, we present a large-scale system to (1) identify hundreds of thousands of …
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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
2019
We study the problem of large-scale network embedding, which aims to learn latent representations for network mining applications. Previous research shows that 1) popular network embedding benchmarks, such as DeepWalk, are in essence implicitly factorizing …
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Heterogeneous Graph Transformer
2020
Recent years have witnessed the emerging success of graph neural networks (GNNs) for modeling structured data. However, most GNNs are designed for homogeneous graphs, in which all nodes and edges belong to the same types, …
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GCC
2020
Graph representation learning has emerged as a powerful technique for addressing real-world problems. Various downstream graph learning tasks have benefited from its recent developments, such as node classification, similarity search, and graph classification. However, prior …