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
Implicit Graphon Neural RepresentationCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
SIGN: Scalable Inception Graph Neural NetworksCode1
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution GeneralizationCode1
Graph Mixture Density NetworksCode1
Simplicial Attention NetworksCode1
Jointly Learnable Data Augmentations for Self-Supervised GNNsCode1
Graph Neural Networks with Adaptive ResidualCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Graphonomy: Universal Image Parsing via Graph Reasoning and TransferCode1
A Meta-Learning Approach for Graph Representation Learning in Multi-Task SettingsCode1
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural NetworksCode1
DiffKG: Knowledge Graph Diffusion Model for RecommendationCode1
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information MechanismCode1
GRPE: Relative Positional Encoding for Graph TransformerCode1
Temporal Graph ODEs for Irregularly-Sampled Time SeriesCode1
Towards Better Graph Representation Learning with Parameterized Decomposition & FilteringCode1
Graph Representation Learning for Multi-Task Settings: a Meta-Learning ApproachCode1
Learning Efficient Positional Encodings with Graph Neural NetworksCode1
Graph Representation Learning via Graphical Mutual Information MaximizationCode1
MultiGPrompt for Multi-Task Pre-Training and Prompting on GraphsCode1
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily DiscriminatingCode1
Graph Trend Filtering Networks for RecommendationsCode1
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge FeaturesCode1
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
Reward Propagation Using Graph Convolutional NetworksCode1
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
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
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature AttacksCode0
Hierarchical and Unsupervised Graph Representation Learning with Loukas's CoarseningCode0
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embeddingCode0
Do Transformers Really Perform Badly for Graph Representation?Code0
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug InteractionsCode0
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node ClassificationCode0
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural NetworksCode0
GTNet: A Tree-Based Deep Graph Learning ArchitectureCode0
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector QuantizationCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
HeGAE-AC: heterogeneous graph auto-encoder for attribute completionCode0
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation LearningCode0
About Graph Degeneracy, Representation Learning and ScalabilityCode0
Distill2Vec: Dynamic Graph Representation Learning with Knowledge DistillationCode0
Show:102550
← PrevPage 5 of 20Next →

Benchmark Results

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