The CPA Journal

The Danger of Bad Charts

Can the users of financial statements and annual reports rely upon the charts in them for accuracy? A sample of 50 public companies' yearly reports ...
IEEE

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal

Abstract: Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research direction. It ...
University of Wyoming

Dice Roll Bar Graph

This module uses random number generators to simulate dice rolls. The user can provide any number of different sided dice and the number of times the dice are rolled. The program will then produce a ...
GitHub

The official implementation for NeurIPS23 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations".

SGFormer is a graph encoder backbone that efficiently computes all-pair interactions with one-layer attentive propagation. SGFormer is built upon our previous works on scalable graph Transformers with ...
GitHub

CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era

This repository contains the code and resources for the paper CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era by Yanlin Feng, Simone Papicchio, and ...
IEEE

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning

Abstract: Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning ...