A survey on hypergraph representation learning
Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …
naturally modeling a broad range of systems where high-order relationships exist among …
Deguil: Degree-aware graph neural networks for long-tailed user identity linkage
User identity linkage (UIL), matching accounts of a person on different social networks, is a
fundamental task in cross-network data mining. Recent works have achieved promising …
fundamental task in cross-network data mining. Recent works have achieved promising …
MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning
S Li, D Lu, Q Li, X Wu, S Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As an essential step in the online social network research, user identity linkage aims to
identify different accounts belonging to the same natural person. Many existing methods rely …
identify different accounts belonging to the same natural person. Many existing methods rely …
Attending to Topological Spaces: The Cellular Transformer
R Ballester, P Hernández-García, M Papillon… - arXiv preprint arXiv …, 2024 - arxiv.org
Topological Deep Learning seeks to enhance the predictive performance of neural network
models by harnessing topological structures in input data. Topological neural networks …
models by harnessing topological structures in input data. Topological neural networks …
[PDF][PDF] Supplementary Material for: A Survey on Hypergraph Representation Learning
We conducted our literature review by in-depth reading, interpreting, and categorizing
articles addressing the problem of generating a low-dimensional representation of a …
articles addressing the problem of generating a low-dimensional representation of a …