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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 351–375 of 982 papers

Title	Date	Tasks	Status	Score
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning	Jun 21, 2022	Graph EmbeddingGraph Representation Learning	CodeCode Available	5
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations	Aug 12, 2021	Graph EmbeddingGraph Representation Learning	CodeCode Available	5
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning	Dec 21, 2023	Contrastive LearningGraph Representation Learning	CodeCode Available	5
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs	Nov 6, 2019	Graph Neural NetworkGraph Representation Learning	CodeCode Available	5
Gossip and Attend: Context-Sensitive Graph Representation Learning	Mar 30, 2020	ClusteringCommunity Detection	CodeCode Available	5
Learning to Make Predictions on Graphs with Autoencoders	Feb 23, 2018	ClassificationGeneral Classification	CodeCode Available	5
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning	Aug 30, 2019	Aspect Category DetectionGraph Representation Learning	CodeCode Available	5
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning	Feb 2, 2025	Bayesian InferenceGraph Representation Learning	CodeCode Available	5
Investigating Similarities Across Decentralized Financial (DeFi) Services	Mar 23, 2024	Graph Representation LearningRepresentation Learning	CodeCode Available	5
Learning multi-resolution representations of research patterns in bibliographic networks	Feb 1, 2021	Graph EmbeddingGraph Representation Learning	CodeCode Available	5
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction	Jan 13, 2025	Graph Representation LearningRepresentation Learning	CodeCode Available	5
Cross-View Graph Consistency Learning for Invariant Graph Representations	Nov 20, 2023	AttributeData Augmentation	CodeCode Available	5
Cycle Representation Learning for Inductive Relation Prediction	Oct 6, 2021	Graph Representation LearningInductive Relation Prediction	CodeCode Available	5
Local2Global: Scaling global representation learning on graphs via local training	Jul 26, 2021	Graph ReconstructionGraph Representation Learning	CodeCode Available	5
MGTCOM: Community Detection in Multimodal Graphs	Nov 10, 2022	Community DetectionDeep Clustering	CodeCode Available	5
Features Based Adaptive Augmentation for Graph Contrastive Learning	Jul 5, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	5
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning	Aug 31, 2023	Graph EmbeddingGraph Representation Learning	CodeCode Available	5
CommunityGAN: Community Detection with Generative Adversarial Nets	Jan 20, 2019	ClusteringCommunity Detection	CodeCode Available	5
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening	Jul 7, 2020	Graph Representation LearningRepresentation Learning	CodeCode Available	5
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning	Nov 17, 2022	FairnessGraph Embedding	CodeCode Available	5
Fair Graph Representation Learning via Sensitive Attribute Disentanglement	May 11, 2024	AttributeDisentanglement	CodeCode Available	5
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs	Jan 21, 2025	Graph Representation LearningLink Prediction	CodeCode Available	5
Graph-based Incident Aggregation for Large-Scale Online Service Systems	Aug 27, 2021	Graph Representation LearningManagement	CodeCode Available	5
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing	Jan 10, 2022	FairnessGraph Representation Learning	CodeCode Available	5
Exploring the Role of Node Diversity in Directed Graph Representation Learning	Jul 25, 2024	DiversityGraph Representation Learning	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Pi-net-linear	Error (mm)	0.47	—	Unverified