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20242026
most citedMamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space

4 citations · 7 across the 7 of their papers we have counts for

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cs.LG2024★ 2 cited

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark

Yili Wang, Yixin Liu, Xu Shen +6

To build safe and reliable graph machine learning systems, unsupervised graph-level anomaly detection (GLAD) and unsupervised graph-level out-of-distribution (OOD) detection (GLOD)…

cs.LG2024★ 1 cited

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data

Rui Miao, Kaixiong Zhou, Yili Wang +3

Graph neural networks (GNNs) have exhibited prominent performance in learning graph-structured data. Considering node classification task, based on the i.i.d assumption among node…