Hierarchical Graph Pooling with Structure Learning. AAAI 2020. paper Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang. StructPool: Structured Graph Pooling via Conditional Ran
Maria BianchiSpectral Clustering with Graph Neural Networks for Graph Pooling. ICML 2020. paper to appear. Ming Chen, et al. Simple and Deep Graph Convolutional Networks. ICML 2020. paper to appear. Yuning You, et al. When Does Self-Supervision Help Graph Convolutional Networks?. ICML 202...
Step 1, Node Clustering: Given a potential hypergraph\({G}_{hyper}\)with node set\({V}_{hyper}\), we assume\({|V}_{hyper}| < |V|\)and define a surjection\({f}_{clus}: V\to {V}_{hyper}\), also known as the vertex mapping function or clustering function, in which each ...
necessitating effective methods for identifying spatial domains. We introduce stDyer, an end-to-end deep learning framework for spatial domain clustering in SRT data. stDyer combines Gaussian Mixture Variational AutoEncoder with graph attention networks to learn embeddings...
Biomedical knowledge graph embedding with capsule network for multi-label drug–drug interaction prediction. IEEE Trans Knowl Data Eng. 2022. 20. Olayan RS, Ashoor H, Bajic VB. DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches....
capsule networkdynamic clusteringknowledge distillation3D non-rigid shape correspondence is significant but challenging in computer graphics, computer vision, and related fields. Although some deep neural networks have achieved encouraging results in shape correspondence, due to the complexity of the local ...
We show t-SNE visualization of molecular representations to investigate the similarity of molecules with the same scaffold. Different colours represent different scaffolds, with a lower DB index indicating better clustering separation. b, Uniformity analysis. Molecular feature distributions are plotted with...
Graph Clustering Graph Classification Reinforcement Learning Traffic Network Few-shot and Zero-shot Learning Program Representation Social Network Graph Matching Computer Network Must-read papers on GNN GNN: graph neural network Contributed by Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai. Content ...
Encrypted network traffic classification using a geometric learning model IFIP/IEEE Symp. Integr. Netw. Manag. (2021), pp. 376-383 Google Scholar Ting-Li et al., 2023 H. Ting-Li, L. Yan, L. Peilong, Z. Tong Flow-based encrypted network traffic classification with graph neural networks ...
21.Hierarchical Graph Representation Learning with Local Capsule PoolingMMAsia 20211. Graph Classification 2. Graph Reconstruction1. PyTorchMUTAG, PROTEINS, D&D, PTC, NCI1,IMDB-B, IMDB-M //synthetic datasets (grid and circle) 20. HGCN:Hierarchical Graph Capsule NetworkAAAI 20211. Graph Classificat...