SOTAVerified

Graph Representation Learning

The goal of Graph Representation Learning is to construct a set of features (‘embeddings’) representing the structure of the graph and the data thereon. We can distinguish among Node-wise embeddings, representing each node of the graph, Edge-wise embeddings, representing each edge in the graph, and Graph-wise embeddings representing the graph as a whole.

Source: SIGN: Scalable Inception Graph Neural Networks

Papers

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Showing 701–725 of 982 papers

TitleStatusHype
Graph AI in Medicine—0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
Graph Anomaly Detection in Time Series: A Survey—0
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach—0
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining—0
Graph Contrastive Learning with Generative Adversarial Network—0
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
Graph Learning with Localized Neighborhood Fairness—0
Graphlets correct for the topological information missed by random walks—0
Graph-Level Embedding for Time-Evolving Graphs—0
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning—0
Graph Neural Networks for Binary Programming—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
Graph Ordering: Towards the Optimal by Learning—0
Graph Partial Label Learning with Potential Cause Discovering—0
Graph Persistence goes Spectral—0
GraphPMU: Event Clustering via Graph Representation Learning Using Locationally-Scarce Distribution-Level Fundamental and Harmonic PMU Measurements—0
3D Hand Pose Estimation via Regularized Graph Representation Learning—0
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization—0
Graph Representation learning for Audio & Music genre Classification—0
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints—0
Graph Representation Learning for Infrared and Visible Image Fusion—0
Graph Representation Learning for Interactive Biomolecule Systems—0
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing—0
Graph Representation Learning for Popularity Prediction Problem: A Survey—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pi-net-linearError (mm)0.47—Unverified