The Combined Impact Of IgLON Family Proteins Lsamp And Neurotrimin On Developing Neurons And Behavioral Profiles In Mouse [PDF]
, 2018 Cell surface neural adhesion proteins are critical components in the complex orchestration of cell proliferation, apoptosis, and neuritogenesis essential for proper brain construction and behavior.
Bregin, A. +10 more
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A Peculiarly Cerebroid Convex Zygo-Dodecahedron is an Axiomatically Balanced “House of Blues”: The Circle of Fifths to the Circle of Willis to Cadherin Cadenzas [PDF]
, 2012 A bilaterally symmetrical convex dodecahedron consisting of twelve quadrilateral faces is derived from the icosahedron via a process akin to Fuller’s Jitterbug Transformation.
Becker, David A.
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On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
CoRR, 2022 We study the task of node classification for graph neural networks (GNNs) and establish a connection between group fairness, as measured by statistical parity and equal opportunity, and local assortativity, i.e., the tendency of linked nodes to have similar attributes.
Donald Loveland +5 more
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Family of neural wiring receptors in bilaterians defined by phylogenetic, biochemical, and structural evidence [PDF]
, 2019 The evolution of complex nervous systems was accompanied by the expansion of numerous protein families, including cell-adhesion molecules, surface receptors, and their ligands. These proteins mediate axonal guidance, synapse targeting, and other neuronal
Cheng, Shouqiang +6 more
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Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
CoRR, 2021 arXiv admin note: text overlap with arXiv:2106 ...
Vijay Lingam +3 more
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CEACAM1 regulates TIM-3-mediated tolerance and exhaustion [PDF]
, 2013 T-cell immunoglobulin domain and mucin domain-3 (TIM-3, also known as HAVCR2) is an activation-induced inhibitory molecule involved in tolerance and shown to induce T-cell exhaustion in chronic viral infection and cancers[superscript 1, 2, 3, 4, 5 ...
Anderson, Ana C. +23 more
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GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
CoRR, 2022 In graph learning, there have been two predominant inductive biases regarding graph-inspired architectures: On the one hand, higher-order interactions and message passing work well on homophilous graphs and are leveraged by GCNs and GATs. Such architectures, however, cannot easily scale to large real-world graphs.
Marios Papachristou +4 more
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Overlay Neural Networks for Heterophilous Graphs
, 2023 Graph Neural Networks (GNNs) have become increasingly popular for their ability to capture complex relationships within graphs by aggregating node neighbor information. However, in graphs exhibiting high levels of heterophily relevant distant nodes are missed during neighbor aggregation, thus limiting the GNN performance in tasks like node ...
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GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
2023 International Joint Conference on Neural Networks (IJCNN), 2023 Accepted at 2023 International Joint Conference on Neural Networks (IJCNN)
Andrea Cavallo +4 more
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Growing Attributed Networks through Local Processes
, 2019 This paper proposes an attributed network growth model. Despite the knowledge that individuals use limited resources to form connections to similar others, we lack an understanding of how local and resource-constrained mechanisms explain the emergence of
Kumar, Suhansanu +2 more
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