[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...
Graph neural network (GNN), as a powerful tool for jointly learning from graph structure and node/edge features, has gradually shown its advantages over traditional methods for link prediction. In this chapter, we discuss GNNs for link prediction. We first introduce the link prediction problem ...
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...
SimplE Embedding for Link Prediction in Knowledge Graphs Seyed Mehran Kazemi, David Poole NeurIPS 2018 A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung NAACL 2018 Iteratively Learning Embeddings and...
extract local enclosing subgraphs around links as the training data, and use a fully-connected neural network to learn which enclosing subgraphs correspond to link existence high-order heuristics往往比跳数为1、2的performance更好,但high-order会让子图变得很大甚至变成整个图,时间和内存开销太大。(对应cont...
最终的节点特征能够让我们可以去对图数据进行节点分类(node classification)、图分类(graph classification)、边预测(link prediction),还可以得到图的嵌入表示(graph embedding),用途非常广泛。 其实,针对Euclidean Structure数据,同样可以使用GNN,广义上来讲任何数据在赋范空间内都可以建立拓扑关联,谱聚类就是应用了这样的...
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 ...
链路预测 Link Prediction 主讲人介绍 修宇璇,清华-伯克利深圳学院博士研究生在读,主要的研究方向是复杂网络的链路预测及其在技术创新管理领域的应用。 参考文献 [1]X. Chen, “Understanding Spectral Graph Neural Network,” Sep. 2021. doi: 10.13140/RG.2.2.27579.03364/1. ...
【ComplEx】 Complex embeddings for simple link prediction 三、随机游走模型 【DeepWalk】 Online ...
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...