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[논문리뷰] STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation (2020)

User의 PoI historical data로부터 spatial, temporal, preference 세 측면의 새로운 PoI exploration을 수행함Exploit user historical data(local view) + Explore new PoIs(g

2022년 10월 10일
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cs224w | Lecture 4. Link Analysis: PageRank

A page is important if it is pointed to by other important pagesConnection to random walkWhat is the long-term distribution of the surfers?PageRank is

2022년 10월 9일
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cs224w | Lecture 3. Node Embeddings

Goal: embedding space에서 가깝에 위치하게 embedding하기 위함$$similarity(u,v) \\approx \\bold{z}{v}^{T} \\bold{z}{u}$$Encoder is just an ebmbedding-lookupEach node

2022년 10월 8일
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cs224w | Lecture 2. Traditional Methods for ML on Graphs

Graph Kernels: Measure similarity between graphsGoal: Design graph feature vector $\\phi (G)$Key Idea: Bag of WordsKey Idea: Count the number of diffe

2022년 10월 8일
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