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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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48 results for squashed 7-spheres

The squashed 7-sphere S7S^{7} is a 7-sphere with an Einstein metric given by the canonical variation and its cone R8{0}\mathbb{R}^{8} - \{ 0 \} has full holonomy Spin(7){\rm Spin}(7). There is a canonical calibrating 4-form ΦΦ on R8{0}\mathbb{R}^{8} - \{ 0 \}. A minimal 3-submanifold in S7S^{7} is called associative if its cone …

2014-11-21abs ↗pdf ↗

The study constructs associative 3-folds in squashed 3-Sasakian manifolds.

problem Understanding associative submanifolds in squashed 3-Sasakian manifolds.
method Analyzes foliations and geodesic ruled associative 3-folds correspondence.
result Infinitely many topological types of non-trivial associative 3-folds constructed.

MPNNs over-squash distant node information, study shows.

problem Over-squashing in MPNNs where node features ignore distant nodes.
method Theoretical analysis of MPNNs' over-squashing, focusing on width, depth, and graph topology.
result Width mitigates over-squashing but makes network more sensitive, depth doesn't help, graph topology is key.

We construct a new infinite family of models of exotic 7-spheres. These models are direct generalizations of the Gromoll-Meyer sphere. From their symmetries, geodesics and submanifolds half of them are closer to the standard 7-sphere than any other known model for an exotic 7-sphere.

2006-10-11abs ↗pdf ↗

In this paper we demonstrate the existence of Sasakian-Einstein structures on certain 2-connected rational homology 7-spheres. These appear to be the first non-regular examples of Sasakian-Einstein metrics on simply connected rational homology spheres. We also briefly describe the rational homology 7-spheres that admit…

2001-08-16abs ↗pdf ↗

Graphs can be smoothed or squashed too, study finds.

problem Graph Neural Networks struggle with over-smoothing and over-squashing issues.
method Unified framework using Ollivier-Ricci curvature to address both issues.
result Over-smoothing and over-squashing linked to positive and negative graph curvature respectively.

gLSTM improves graph neural networks by increasing storage capacity to prevent over-squashing.

problem Over-squashing in GNNs collapses information from a large receptive field into a single vector, creating an information bottleneck.
method Introduced a new synthetic task to measure over-squashing and adapted ideas from sequence modeling to develop gLSTM, a novel GNN architecture with improved capacity.
result gLSTM architecture demonstrates strong performance on synthetic and real-world graph benchmarks, mitigating over-squashing.

Graph pruning improves neural network performance by addressing squashing and smoothing issues.

problem Over-squashing and over-smoothing in Graph Neural Networks.
method Proposes edge deletions to simultaneously address over-squashing and over-smoothing, optimizing spectral gap.
result Edge deletions improve generalization and distinguishability of nodes of different classes.

Graph neural networks struggle to propagate long-range information, causing over-squashing.

problem Graph neural networks struggle to propagate long-range information.
method Identified over-squashing as the bottleneck in GNNs, demonstrated on various models.
result Breaking the bottleneck improves GNNs' performance on long-range problems.

Classifies two families of simply connected 7-manifolds with minimal homological complexity.

problem Classifying simply connected rational homology 7-spheres that are not 2-connected.
method Complete classification of two families of manifolds using Milnor's λ-invariant and Eells-Kuiper μ-invariant.
result Minimal homological complexity among simply connected rational homology 7-spheres that are not 2-connected.

Advocates against over-smoothing and over-squashing in GNNs, suggesting they are less critical than previously thought.

problem Over-smoothing and over-squashing in Graph Neural Networks (GNNs).
method Challenged the prevailing focus on these phenomena, proposing that performance decreases are due to uninformative receptive fields and localised information distribution.
result Performance decreases are mostly uncorrelated with over-smoothing and over-squashing, and optimal model depths remain small.

A regularization procedure developed in [1] for the integral curvature invariants on manifolds with conical singularities is generalized to the case of squashed cones. In general, the squashed conical singularities do not have rotational O(2) symmetry in a subspace orthogonal to a singular surface ΣΣ so that the surfa…

2013-06-17abs ↗pdf ↗

Study on curvature properties of exotic 7-sphere using quaternionic geometry.

problem Examining curvature of an exotic 7-sphere.
method Using Kaluza-Klein Ansatz with quaternionic language, focusing on moduli spaces of instantons and metrics.
result Identified a center in the moduli space of k=2k=2 instantons and computed the Ricci tensor for a metric of maximal isometry.

The paper studies G2G_2-Poisson equations on 7-spheres and classifies invariant solutions.

problem Existence and uniqueness of GG-invariant solutions for G2G_2-Laplacian on 3-forms.
method Analyzes GG-invariant solutions for G=SU(4),Spin(7),Sp(2)imesSp(1)/Z2G=SU(4), Spin(7), Sp(2) imes Sp(1)/\mathbb{Z}_2 and discusses eigenvalue problem.
result Classification of GG-invariant solutions and determination of nearly parallel G2G_2-structures.

We simplify word embeddings by removing sigmoid in SGNS, revealing connections to hyperbolic spaces.

problem Improving word embeddings quality and understanding their relationship with hyperbolic spaces.
method Analyzing squashed shifted PMI matrix and its relation to graph properties and hyperbolic geometry.
result Word embeddings can be connected to hyperbolic spaces through squashed shifted PMI matrix.

Study local moduli of Sasaki-Einstein metrics on specific polynomial links.

problem Understanding the local moduli of Sasaki-Einstein metrics on links of invertible polynomials.
method Analyzing Sasaki-Einstein metrics on links of invertible polynomials of cycle type and Thom-Sebastiani sums.
result For polynomials of cycle type, local moduli spaces are zero-dimensional. For Thom-Sebastiani sums, dimensions are positive.

Unified treatment of gauge theories and Yang-Mills theory duality.

problem Unified treatment of gauge theories and Yang-Mills theory duality.
method Cohomological localization techniques and Atiyah-Singer index theorem.
result Unified framework and simplified derivations of localization formulas.

New Sasaki-Einstein 7-manifolds found, including rational homology 7-spheres and connected sums.

problem Finding new Sasaki-Einstein 7-manifolds and understanding their properties.
method Calculating homology groups of specific 7-manifolds using Thom-Sebastiani sums and quasi-regular metrics.
result 52 new Sasaki-Einstein rational homology 7-spheres and 124 new 2-connected 7-manifolds homeomorphic to S3imesS4S^{3} imes S^{4} were found.

A new method boosts graph neural networks by preventing over-smoothing and over-squashing.

problem Graph Neural Networks struggle with long-range signals and over-smoothing/over-squashing.
method Proposes PowerEmbed, a layer-wise normalization technique inspired by spectral graph embedding.
result PowerEmbed prevents over-smoothing and avoids over-squashing, improving performance on heterophilous graphs.

Abstract: Investigates octonion product deformations and related geometries.

problem Exploring geometries and deformations from the 7-sphere S7S^7.
method Analyzing the spontaneous compactification M4imesS7M_4 imes S^7 and solutions of Lagrangian equations.
result Obtains a family of geometries including those with torsion and G2G_2-structures.

Nearly G2G_2-structures are unstable under a modified G2G_2-Laplacian co-flow.

problem Stability of nearly G2G_2-structures under geometric flows.
method Normalized modified G2G_2-Laplacian co-flow.
result Many nearly G2G_2-structures are unstable, with the standard structure on the round 7-sphere being an unstable critical point.

We study quiver gauge theories on the round and squashed seven-spheres, and orbifolds thereof. They arise by imposing GG-equivariance on the homogeneous space G/H=SU(4)/SU(3)G/H=\mathrm{SU}(4)/\mathrm{SU}(3) endowed with its Sasaki-Einstein structure, and G/H=Sp(2)/Sp(1)G/H=\mathrm{Sp}(2)/\mathrm{Sp}(1) as a 3-Sasakian manifold. In both cases …

2017-06-22abs ↗pdf ↗

The paper identifies conditions for free circle actions on specific 7-manifolds.

problem Determining conditions for free circle actions on certain 7-manifolds.
method Analyzing specific 7-manifolds and their components.
result Identifies conditions for free circle actions on kS2imesS5#lS3imesS4#ΣkS^{2} imes S^{5}\#lS^{3} imes S^{4}\#Σ.

A metric with positive sectional curvature on the Gromoll-Meyer exotic 7-sphere is constructed explicitly. The proof relies on a 2-parameter family of left invariant metrics on Sp(2) and a one-parameter family of conformal deformations via an isoparametric function F on it. One byproduct is a metric with positive secti…

2014-12-02abs ↗pdf ↗

Gromoll and Meyer have represented a certain exotic 7-sphere Σ7Σ^7 as a biquotient of the Lie group G=Sp(2)G = Sp(2). We show for a 2-parameter family of left invariant metrics on GG that the induced metric on Σ7Σ^7 has strictly positive sectional curvature at all points outside four subvarieties of codimension 1\geq 1 wh…

2007-11-19abs ↗pdf ↗

Associative submanifolds of the 7-sphere S^7 are 3-dimensional minimal submanifolds which are the links of calibrated 4-dimensional cones in R^8 called Cayley cones. Examples of associative 3-folds are thus given by the links of complex and special Lagrangian cones in C^4, as well as Lagrangian submanifolds of the near…

2010-06-02abs ↗pdf ↗

Smooth Freund-Rubin backgrounds of eleven-dimensional supergravity of the form AdS_4 x X^7 and preserving at least half of the supersymmetry have been recently classified. Requiring that amount of supersymmetry forces X to be a spherical space form, whence isometric to the quotient of the round 7-sphere by a freely-act…

2010-07-27abs ↗pdf ↗

For each nonnegative integer we find an open (4m+9)-dimensional simply-connected manifold admitting complete nonnegatively curved metrics whose souls are non-diffeomorphic, homeomorphic, and have codimension 2. We give a diffeomorphism classification of the pairs (N, soul) when N is a nontrivial complex line bundle ove…

2009-12-24abs ↗pdf ↗

A new graph neural network (NBA-GNN) avoids revisiting nodes to improve accuracy.

problem Redundancy in graph neural network updates causes over-squashing and inaccurate recognition.
method Proposes non-backtracking graph neural networks (NBA-GNN) that update messages without revisiting nodes.
result The NBA-GNN alleviates over-squashing and improves performance on graph benchmarks.

New formalism solves kinematical constraints in curved backgrounds and non-trivial states.

problem Solving kinematical constraints due to Weyl invariance in curved backgrounds and non-trivial states.
method Constructing Weyl covariant geometric objects and identifying them as building blocks of correlation functions.
result Exact agreement with thermal OPEs and holographic computations for thermal 2-point functions.