conftrace_

random graph model

9 papers

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Co-occurring keywords · papers mentioning both

stochastic block model (3) graph neural network (2) graph convolution (2) random graph (2) graph generation (2) gaussian multiplicative chao (1) network geometry (1) edge independent (1) triangle density (1) over smoothing (1)

Papers

Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter CVPR 2026 Almost Surely Asymptotically Constant Graph Neural Networks NeurIPS 2024 Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective ICML 2024 Understanding Heterophily for Graph Neural Networks ICML 2024 On the Power of Edge Independent Graph Models NeurIPS 2021 Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos ICML 2020 Toward universal testing of dynamic network models ALT 2020 A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation JMLR 2018 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NeurIPS 2016