graph topology

Generalised Implicit Neural Representations NeurIPS 2022 Learning on Arbitrary Graph Topologies via Predictive Coding NeurIPS 2022 Self-Organized Polynomial-Time Coordination Graphs ICML 2022 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 Deep Latent Graph Matching ICML 2021 GENE: Global Event Network Embedding NAACL 2021 Graph-Free Knowledge Distillation for Graph Neural Networks IJCAI 2021 Learning to Learn Graph Topologies NeurIPS 2021 Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation ICCV 2021 Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Mining Topological Structure in Graphs through Forest Representations JMLR 2020 Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints AAAI 2019 Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology NeurIPS 2019 A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018 Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence AISTATS 2015 Topology Constraints in Graphical Models NeurIPS 2012