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MinEasyGraph Tutorial 3In Tutorial 2, EasyGraph is demonstrated to achieve higher performance on some algorithms through C++, such as the multi_source_dijkstra…Mar 28Mar 28
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InTowards Data SciencebyGiuseppe FutiaTowards Named Entity Disambiguation with Graph EmbeddingsHow to distill knowledge from biomedical text combining pre-trained language models with graph machine learningSep 253
TRAN Ngoc ThachExploring PrimeKG — A Knowledge Graph for Medicine & HealthcareThis article will take a glance at the paper “Building a knowledge graph to enable precision medicine” (Chandak et al, 2023) [1] (aka…Jul 24
MinEasyGraph Tutorial 3In Tutorial 2, EasyGraph is demonstrated to achieve higher performance on some algorithms through C++, such as the multi_source_dijkstra…Mar 28
InAnalytics VidhyabyNabila AbrahamOhMyGraphs: GraphSAGE in PyGIn a (much) earlier post, I described the intuition and some of the math behind a basic graph neural network (GNN) algorithm, GraphSAGE…Jul 6, 20212
Ingraph-machine-learningbyAustin Park[ICLR’22] COLD BREW: DISTILLING GRAPH NODE REPRESENTATIONS WITH INCOMPLETE OR MISSING NEIGHBORHOODS…A cold node embedding approach that utilizes knowledge distillationDec 11, 20231
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InCoinmonksbySolidity AcademyMando: Revolutionizing Smart Contract Security with Multi-Level Heterogeneous Graph Embeddings 📊In the world of blockchain technology, the use of smart contracts has become increasingly prevalent. These self-executing contracts are…Oct 24, 2023
InLyft EngineeringbyJaven Xulyft2vec — Embeddings at LyftCo-authors: Hakan Baba, Adriana Deneault.Mar 22, 20232
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