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论文解读(GIC)《Graph infoclust: Leveraging cluster-level node information for unsupervised graph represen
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论文解读(DGB)《Self-supervised Graph Representation Learning via Bootstrapping》
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论文解读(CGC)《CGC: Contrastive Graph Clustering for Community Detection and Tracking》
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论文解读(MCNS)《Understanding Negative Sampling in Graph RepresentationLearning》
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奋斗者们的论文
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论文解读(MERIT)《Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learni
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论文解读(IGSD)《Iterative Graph Self-Distillation》
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论文解读(Debiased)《Debiased Contrastive Learning》
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论文解读(Graphormer)《Do Transformers Really Perform Bad for Graph Representation?》
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论文解读(SimGRACE)《SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
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论文解读《Measuring and Relieving the Over-smoothing Problem for Graph NeuralNetworks from the Topologica
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论文解读《Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning》
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论文解读(GMT)《Accurate Learning of Graph Representations with Graph Multiset Pooling》
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论文解读(DiffPool)《Hierarchical Graph Representation Learning with Differentiable Pooling》
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论文解读(SAGPool)《Self-Attention Graph Pooling》
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论文解读(GTN)《Graph Transformer Networks》
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论文解读(DAGNN)《Towards Deeper Graph Neural Networks》
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论文解读《Deep Attention-guided Graph Clustering with Dual Self-supervision》
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解读论文《Agglomerative clustering of a search engine query log》,以解决搜索推荐相关问题
算法思想
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算法
论文解读(NGCF)《LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation》
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论文解读《Bilinear Graph Neural Network with Neighbor Interactions》
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论文解读(ClusterSCL)《ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs》
论文解读
论文解读(SCGC)《Simple Contrastive Graph Clustering》
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论文解读(Graph-Bert)《Graph-Bert: Only Attention is Needed for Learning Graph Representations》
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论文解读(SCGC)《SCGC : Self-Supervised Contrastive Graph Clustering》
论文解读
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