Link predictionGraph Convolutional Neural NetworkRecommendation SystemsLink prediction is a challenging issue in practical applications such as recommendation systems. The purpose of such applications is to pre
[7] Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. Zhu et al. NeurIPS 2021. [8] Systematic Generalization with Edge Transformers. Bergen et al. NeurIPS 2021. [9] Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. Morris et al. AA...
Node embeddings for link prediction There have been several works which used the embeddings created from neural network methods for link prediction. The evaluation metrics mentioned here are explained in the “Meaningful evaluation metrics” section. To the best of our knowledge, none of these works...
Chamberlain, Shirobokov, et al. Graph Neural Networks for Link Prediction with Subgraph Sketching. ICLR 2023 Zhu et al. Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. NeurIPS 2021 Galkin...
Dynamic network link prediction is extensively applicable in various scenarios, and it has progressively emerged as a focal point in data mining research. The comprehensive and accurate extraction of node information, as well as a deeper understanding of
In this paper, we propose a novel multi-modal graph convolutional neural network (M2GCN) for link prediction in multi-modal networks which consist of ... Q Liu,E Yao,YXM Liu - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving...
DiffNet++ [DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation] 在一个统一的框架下建模影响力扩散和兴趣扩散。对于用户节点,首先利用GAT在二部图和神经网络上聚合邻居信息,注意力机制被用来混合邻居的两种表示,用户节点通过与混合向量相加来更新。对于item节点,利用GAT传播交互邻居...
Graph embedding(GE)也叫做network embedding(NE)也叫做Graph representation learning(GRL),或者network representation learning(NRL),最近有篇文章把graph和network区分开来了,说graph一般表示抽象的图比如知识图谱,network表示实体构成的图例如社交网络, 我觉得有点过分区分了。图1.1是整个GE大家族,本文只介绍绿色的,蓝色...
Breadth-first Search, Depth-first Search, Node Classification, Link Prediction Variational Graph Auto-Encoders Thomas N. Kipf, Max Welling arXiv 1611 Scalable Graph Embedding for Asymmetric Proximity Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao ...
3.2 Link prediction 3.2.1 baselines GCN:traditional dynamic network embedding method GraphSage: Inductive representation learning on large graphs node2vec: Scalable feature learning for networks. DynGEM:Deep Embedding Method for Dynamic Graphs. CPTM:Temporal link prediction using matrix and tensor factorizat...