GitHub

Graph Positional Autoencoders as Self-supervised Learners (GraphPAE)

accelerate==0.33.0 numpy==1.24.4 ogb==1.3.6 pandas==2.2.3 PyYAML==6.0.2 rdkit_pypi==2022.9.5 scikit_learn==1.3.2 scipy==1.8.1 torch==2.1.2+cu121 torch_geometric==2.6.1 torch_scatter==2.1.2+pt21cu121 ...
IEEE

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification

Abstract: In practice, the acquirement of labeled samples for hyperspectral image (HSI) is time-consuming and labor-intensive. It frequently induces the trouble of model overfitting and performance ...
GitHub

Can Graph Learning Improve Planning in LLM-based Agents?

This is the official implementation for our NeurIPS 2024 paper "Can Graph Learning Improve Planning in LLM-based Agents?" [中文] For running LLM's direct inference or GraphSearch, our codes are ...
Harvard Business Review

Know Your Customers’ “Jobs to Be Done”

Is innovation inherently a hit-or-miss endeavor? Not if you understand why customers make the choices they do. by Clayton M. Christensen, Taddy Hall, Karen Dillon and David S. Duncan For as long as we ...
IEEE

Linking Text and Visualizations via Contextual Knowledge Graph

Abstract: The integration of visualizations and text is commonly found in data news, analytical reports, and interactive documents. For example, financial articles are presented along with interactive ...