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Found 7 papers, 4 papers with code
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Subgraphs are rich substructures in graphs, and their nodes and edges can be partially observed in real-world tasks.
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
However, what graph attention learns is not understood well, particularly when graphs are noisy.
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning
Subgraph representation learning has emerged as an important problem, but it is by default approached with specialized graph neural networks on a large global graph.
Learning Representations of Partial Subgraphs by Subgraph InfoMax
Subgraphs are important substructures of graphs, but learning their representations has not been studied well.
$q$-Kreweras numbers for coincidental Coxeter groups attached to limit symbols
For a coincidental Coxeter group, i. e. of type $A_{n-1}, BC_n, H_3,$ or $I_2(m)$, we define the corresponding $q$-Kreweras numbers attached to limit symbols in the sense of Shoji.
Combinatorics Representation Theory
Additive Compositionality of Word Vectors
Additive compositionality of word embedding models has been studied from empirical and theoretical perspectives.
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks
An overwhelming number of true and false news stories are posted and shared in social networks, and users diffuse the stories based on multiple factors.
