Papers in this area
Showing 1–10 of 10 papers
| Task | Papers | Results |
|---|---|---|
| Node Classification Node Classification is a machine learning task in graph-base… | 1,860 | 1,793 |
| Graph Classification Graph Classification is a task that involves classifying a g… | 927 | 809 |
| Link Prediction Link Prediction is a task in graph and network analysis wher… | 1,949 | 501 |
| Graph Regression The regression task is similar to graph classification but u… | 145 | 240 |
| Node Property Prediction | 54 | 235 |
| Graph Property Prediction | 56 | 128 |
| Graph Matching Graph Matching is the problem of finding correspondences bet… | 477 | 83 |
| AMR Parsing Each AMR is a single rooted, directed graph. AMRs include Pr… | 117 | 76 |
| Graph Clustering Graph Clustering is the process of grouping the nodes of the… | 393 | 32 |
| Scene Graph Generation A scene graph is a structured representation of an image, wh… | 318 | 31 |
| Knowledge Graphs A knowledge graph is a structured representation of informat… | 2,974 | 19 |
| Community Detection Community Detection is one of the fundamental problems in ne… | 919 | 17 |
| Knowledge Graph Completion Knowledge graphs $G$ are represented as a collection of trip… | 482 | 17 |
| Graph Ranking | 18 | 16 |
| AMR Graph Similarity | 3 | 9 |
| Graph Generation Graph Generation is an important research area with signific… | 712 | 6 |
| Inductive knowledge graph completion | 20 | 6 |
| Graph-to-Sequence Mapping an input graph to a sequence of vectors. | 48 | 3 |
| Graph Question Answering | 78 | 2 |
| 3D Scene Graph Alignment | 2 | 2 |
| Graph Neural Network | 3,598 | 1 |
| Graph Learning Graph learning is a branch of machine learning that focuses … | 1,570 | 1 |
| Graph Embedding Graph embeddings learn a mapping from a network to a vector … | 1,192 | 1 |
| Graph Representation Learning The goal of Graph Representation Learning is to construct a … | 982 | 1 |
| Knowledge Graph Embedding | 467 | 1 |
| graph partitioning Graph Partitioning is generally the first step of distribute… | 208 | 1 |
| Graph Similarity | 113 | 1 |
| GRAPH DOMAIN ADAPTATION | 40 | 1 |
| Video scene graph generation | 16 | 1 |
| Triplet | 1,626 | 0 |
| Computed Tomography (CT) The term “computed tomography”, or CT, refers to a computeri… | 1,207 | 0 |
| Graph Attention | 1,088 | 0 |
| graph construction | 561 | 0 |
| Network Embedding Network Embedding, also known as "Network Representation Lea… | 403 | 0 |
| Stochastic Block Model | 370 | 0 |
| Knowledge Graph Embeddings | 269 | 0 |
| Relation Prediction | 187 | 0 |
| Protein Folding | 185 | 0 |
| Graph Mining | 174 | 0 |
| molecular representation | 168 | 0 |
| Entity Embeddings Entity Embeddings is a technique for applying deep learning … | 151 | 0 |
| Photoplethysmography (PPG) Photoplethysmography (PPG) is a non-invasive light-based met… | 148 | 0 |
| Homography Estimation Homography estimation is a technique used in computer vision… | 134 | 0 |
| Graph structure learning Semi-supervised node classification when a graph structure i… | 132 | 0 |
| Node Clustering | 130 | 0 |
| Molecular Docking Predicting the binding structure of a small molecule ligand … | 128 | 0 |
| Relation Network | 123 | 0 |
| Graph Sampling Training GNNs or generating graph embeddings requires graph … | 101 | 0 |
| Electromyography (EMG) | 94 | 0 |
| Graph Reconstruction | 88 | 0 |