3 citations · 4 across the 5 of their papers we have counts for
5 papers
Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks
Xiaoyu Li, Zhizhou Sha, Jiaojiao Jiang +2
An input may activate few hidden units even when different inputs collectively use an entire network. We study the statistical complexity of this input-dependent sparsity in the on…
Matched Excess-Outranker Regularization for Candidate-Set Interference in Continual Knowledge Graph Embedding
Hao Ren, Junbin Gao, Jiaojiao Jiang
Continual knowledge graph embedding updates entity and relation representations as a graph grows. Existing methods primarily address catastrophic forgetting, but entity admission a…
Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
Xiaoyu Li, Guangyu Tang, Jiaojiao Jiang
Many real-world interactions are group-based rather than pairwise such as papers with multiple co-authors and users jointly engaging with items. Hypergraph neural networks have sho…
LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks
Hao Ren, Jiaojiao Jiang
As the calculation of centrality in complex networks becomes increasingly vital across technological, biological, and social systems, precise and scalable ranking methods are essen…
Influence Robustness of Nodes in Multiplex Networks against Attacks
Boqian Ma, Hao Ren, Jiaojiao Jiang
Recent advances have focused mainly on the resilience of the monoplex network in attacks targeting random nodes or links, as well as the robustness of the network against cascading…