Dan McCrearyUsing GenAI to Create Learning GraphsData Structures for Hyper-Personalized Lesson PlansOct 161
Kelvin JoseDirect Embedding of Temporal Network Edges via Time-Decayed Line GraphsThis is a review of the paper titled Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs which uses a novel technique…Nov 6Nov 6
Xixi WuLLMs Still Can’t Plan, Can Graph Learning Improve it?This blog post is based on our recent paper “Can Graph Learning Improve Planning in LLM-based Agents?”, accepted by NeurIPS 2024, [Paper]…Oct 28Oct 28
InTowards Data SciencebyYu-Cheng TsaiA Step-by-Step Guide to Build a Graph Learning System for a Movie RecommenderBuilt with PyTorch Geometric and using MovieLens DataSetSep 111Sep 111
Dan McCrearyUsing GenAI to Create Learning GraphsData Structures for Hyper-Personalized Lesson PlansOct 161
Kelvin JoseDirect Embedding of Temporal Network Edges via Time-Decayed Line GraphsThis is a review of the paper titled Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs which uses a novel technique…Nov 6
Xixi WuLLMs Still Can’t Plan, Can Graph Learning Improve it?This blog post is based on our recent paper “Can Graph Learning Improve Planning in LLM-based Agents?”, accepted by NeurIPS 2024, [Paper]…Oct 28
InTowards Data SciencebyYu-Cheng TsaiA Step-by-Step Guide to Build a Graph Learning System for a Movie RecommenderBuilt with PyTorch Geometric and using MovieLens DataSetSep 111
The useless channelGraph Learning Part 3In the previous part we learnt the improtance of Node Embeddings. In this part we will take a look at Random Walks, one of the more widely…Apr 30
InStanford CS224W: Machine Learning with GraphsbyTassos SapalidisPredicting Evolution of Dynamic GraphsAn Application of Spatio-Temporal Graph Neural Networks to Traffic PredictionJan 16, 2022