📊 Data Visualization - yfff · Scour

Interpolating Discrete Diffusion Models with Controllable Resampling 🔥PyTorch

Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells 🗜️Compressed Sensing

LoReC: Rethinking Large Language Models for Graph Data Analysis 💬LLMs

Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks 📐Estimation Theory

Reversible Residual Normalization Alleviates Spatio-Temporal Distribution Shift 📡Signal Processing

NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detection 🗄️Vector Databases

A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs 🔢Random Matrix Theory

Spectral bandits for smooth graph functions 🎮Reinforcement Learning

FOCAL-Attention for Heterogeneous Multi-Label Prediction 🤖Transformers

Statistical inference with win statistics in cluster-randomized trials with composite outcomes 📊Statistics

Inference for Functional Data under Markov Constraints 🎲Stochastic Processes

Simulation Based Inference of a Simple Neural Network Structure 🔥PyTorch

Graph self-supervised learning based on frequency corruption 🧠LLM

Heterogeneous Sheaf Neural Networks 🔥PyTorch

Geometric regularization of autoencoders via observed stochastic dynamics 🔥PyTorch

Learning-Based Sparsification of Dynamic Graphs in Robotic Exploration Algorithms 🎮Reinforcement Learning

Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs 💬LLMs

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) 💬LLMs

Covariance test for discretely observed functional data: when and how it works? 🔢Random Matrix Theory

A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models 📐Estimation Theory

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