Topic: node-embeddings Goto Github
Some thing interesting about node-embeddings
Some thing interesting about node-embeddings
node-embeddings,Code and data for the CIKM2021 paper "Learning Ideological Embeddings From Information Cascades"
User: corradomonti
node-embeddings,Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
User: daiquocnguyen
node-embeddings,Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
User: daiquocnguyen
node-embeddings,From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
User: daiquocnguyen
node-embeddings,A Graph Optimal Transport Python Package
User: damink
node-embeddings,Various Network Science Projects (2021-2022)
User: faresgh1997
node-embeddings,DEBS 2021: Graph Stream Analytics tutorial
User: ferencberes
Home Page: https://dl.acm.org/doi/10.1145/3465480.3468293
node-embeddings,Profiling and Deanonymizing Ethereum Users
User: ferencberes
Home Page: https://arxiv.org/abs/2005.14051
node-embeddings,A module to test pre-computed graph node embeddings against labeled node classification benchmarks.
User: francescopuddu
node-embeddings,A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a nodeโs local neighborhood. Here, the implementation of GraphSAGE is based on transductive training
User: gaudelbijay
node-embeddings,:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
User: immohammadhosseini
node-embeddings,Code for "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" (ICML 2023)
User: joisino
Home Page: https://arxiv.org/abs/2301.10956
node-embeddings,๐Graph Convolutional Network (GCN) on Zachary's karate club network
User: khames-lab
node-embeddings,Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
User: pcy1302
node-embeddings,Representation and learning framework for dynamic graphs using Graph Neural Networks.
User: simondelarue
node-embeddings,Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"
User: simonepiaggesi
node-embeddings,DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.
User: zeno129
node-embeddings,CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.
User: zixi-liu
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