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https://arxiv.org/abs/math/0611416v2 [math/0611416v2] Random Graph-Homomorphisms and Logarithmic Degree Abstract page for arXiv paper math/0611416v2: Random Graph-Homomorphisms and Logarithmic Degree random graph math homomorphisms logarithmic degree https://openreview.net/forum?id=IxQ1DdkOc1f&referrer=%5Bthe%20profile%20of%20Giulio%20Rossetti%5D(%2Fprofile%3Fid%3D~Giulio_Rossetti1) Structify-Net: Random Graph generation with controlled size and customized structure | OpenReview Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most... random graph https://arxiv.org/abs/math/0611416 [math/0611416] Random Graph-Homomorphisms and Logarithmic Degree Abstract page for arXiv paper math/0611416: Random Graph-Homomorphisms and Logarithmic Degree random graph math homomorphisms logarithmic degree https://arxiv.org/abs/1302.0709 [1302.0709] Area law for random graph states Abstract page for arXiv paper 1302.0709: Area law for random graph states random graph 1302 0709 area law https://www.neo4j.com/docs/graph-data-science/current/machine-learning/training-methods/random-forest/ Random forest - Neo4j Graph Data Science Random forest - Neo4j Graph Data Science random forest neo4j graph data science https://openreview.net/forum?id=H21qm4xyk9 Taming graph kernels with random features | OpenReview We introduce in this paper the mechanism of graph random features (GRFs). GRFs can be used to construct unbiased randomized estimators of several important... taming graph kernels random features https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2017.00583/full Frontiers | Using Exponential Random Graph Models to Analyze the Character of Peer Relationship... The influences of peer relationships on adolescent subjective well-being were investigated within the framework of social network analysis, using exponential... https://openreview.net/forum?id=97GRqCwnJI Training Differentially Private Graph Neural Networks with Random Walk Sampling | OpenReview Deep learning models are known to put the privacy of their training data at risk, which poses challenges for their safe and ethical release to the public.... graph neural networks random walk training private https://arxiv.org/abs/2310.19285 [2310.19285] Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Abstract page for arXiv paper 2310.19285: Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes graph neural networks https://arxiv.org/abs/1607.01895 [1607.01895] Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images Abstract page for arXiv paper 1607.01895: Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images https://openreview.net/forum?id=tSFpsfndE7 Random Walk Diffusion for Efficient Large-Scale Graph Generation | OpenReview Graph generation addresses the problem of generating new graphs that have a data distribution similar to real-world graphs. While previous diffusion-based... random walk large scale diffusion efficient graph https://arxiv.org/abs/2506.01021 [2506.01021] Even-degeneracy of a random graph Abstract page for arXiv paper 2506.01021: Even-degeneracy of a random graph 2506 01021 even degeneracy random https://arxiv.org/abs/0806.4684 [0806.4684] On the Degree Sequence and its Critical Phenomenon of an Evolving Random Graph Process Abstract page for arXiv paper 0806.4684: On the Degree Sequence and its Critical Phenomenon of an Evolving Random Graph Process https://arxiv.org/abs/0907.4211 [0907.4211] The scaling window for a random graph with a given degree sequence Abstract page for arXiv paper 0907.4211: The scaling window for a random graph with a given degree sequence https://arxiv.org/abs/2108.11674v3 [2108.11674v3] Graph-guided random forest for gene set selection Abstract page for arXiv paper 2108.11674v3: Graph-guided random forest for gene set selection random forest 2108 graph guided gene https://openreview.net/forum?id=6MBqQLp17E Linear Transformer Topological Masking with Graph Random Features | OpenReview When training transformers on graph-structured data, incorporating information about the underlying topology is crucial for good performance. Topological... linear transformer topological masking graph random