The Graph Delivers Production-Ready Data Infrastructure for TRON Enterprise Applications

San Francisco, United States, November 13th, 2025, FinanceWireThe Graph, the open, universal data layer for web3, today ...

Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
GitHub

SyGra: Graph-oriented Synthetic data generation Pipeline

Framework to easily generate complex synthetic data pipelines by visualizing and configuring the pipeline as a computational graph. LangGraph is used as the underlying graph configuration/execution ...

A Market Crash Is Imminent

Current equity allocations above 50% signal U.S. stock markets, as measured by the S&P 500, may be near a cyclical top. Read ...

AMD: Strong Momentum, But Risk-Reward Looks Weak Ahead Of Q3

AMD shows strong Q2 growth with gaming and client strength, but faces margin pressure, high valuation, and AI competition. See why AMD stock is a hold.
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.
IEEE

Fully Data-Driven but Interpretable Human Behavioural Modelling With Differentiable Discrete Choice Model

Abstract: Discrete choice models are essential for modelling various decision-making processes in human behaviour. However, the specification of these models has depended heavily on domain knowledge ...