84 citations · 389 across the 28 of their papers we have counts for
29 papers
Long-range Meta-path Search on Large-scale Heterogeneous Graphs
Chao Li, Zijie Guo, Qiuting He +2
Utilizing long-range dependency, a concept extensively studied in homogeneous graphs, remains underexplored in heterogeneous graphs, especially on large ones, posing two significan…
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
Chao Li, Hao Xu, Kun He
Meta-structures are widely used to define which subset of neighbors to aggregate information in heterogeneous information networks (HINs). In this work, we investigate existing met…
Class-aware Information for Logit-based Knowledge Distillation
Shuoxi Zhang, Hanpeng Liu, John E. Hopcroft +1
Knowledge distillation aims to transfer knowledge to the student model by utilizing the predictions/features of the teacher model, and feature-based distillation has recently shown…
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft +6
We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily…
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification
Jinsong Chen, Boyu Li, Kun He
The decoupled Graph Convolutional Network (GCN), a recent development of GCN that decouples the neighborhood aggregation and feature transformation in each convolutional layer, has…
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks
Jinsong Chen, Boyu Li, Qiuting He +1
Node classification on attributed networks is a semi-supervised task that is crucial for network analysis. By decoupling two critical operations in Graph Convolutional Networks (GC…