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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 982 papers

TitleStatusHype
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated LearningCode1
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learningCode1
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data AugmentationCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
Simplifying Subgraph Representation Learning for Scalable Link PredictionCode1
Graph Neural Networks in Recommender Systems: A SurveyCode1
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Graph Neural Networks with Adaptive ResidualCode1
A Meta-Learning Approach for Graph Representation Learning in Multi-Task SettingsCode1
Graphonomy: Universal Image Parsing via Graph Reasoning and TransferCode1
DiffKG: Knowledge Graph Diffusion Model for RecommendationCode1
Structure-Preserving Graph Representation LearningCode1
Graph Representation Learning for Multi-Task Settings: a Meta-Learning ApproachCode1
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation LearningCode1
Temporal Graph ODEs for Irregularly-Sampled Time SeriesCode1
Towards a Unified Framework for Fair and Stable Graph Representation LearningCode1
Learning Long Range Dependencies on Graphs via Random WalksCode1
Multi-modal Graph Learning for Disease PredictionCode1
Disentangle-based Continual Graph Representation LearningCode1
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily DiscriminatingCode1
Graph Trend Filtering Networks for RecommendationsCode1
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanismCode1
Bi-GCN: Binary Graph Convolutional NetworkCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
An adaptive graph learning method for automated molecular interactions and properties predictionsCode1
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power SystemCode1
Robo-taxi Fleet Coordination at Scale via Reinforcement LearningCode1
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug InteractionsCode0
An Efficient Memory Module for Graph Few-Shot Class-Incremental LearningCode0
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive LearningCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
Hierarchical and Unsupervised Graph Representation Learning with Loukas's CoarseningCode0
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embeddingCode0
HeGAE-AC: heterogeneous graph auto-encoder for attribute completionCode0
Heterogeneous Deep Graph InfomaxCode0
Do Transformers Really Perform Badly for Graph Representation?Code0
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector QuantizationCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
GTNet: A Tree-Based Deep Graph Learning ArchitectureCode0
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature AttacksCode0
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation LearningCode0
About Graph Degeneracy, Representation Learning and ScalabilityCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Show:102550
← PrevPage 5 of 20Next →

Benchmark Results

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