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 451–475 of 982 papers

Title	Date	Tasks	Status	Score
Embedding Graphs on Grassmann Manifold	May 30, 2022	Graph EmbeddingGraph Property Prediction	CodeCode Available	5
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events	Nov 11, 2020	Graph Representation LearningKnowledge Distillation	CodeCode Available	5
Hyperparameter-free and Explainable Whole Graph Embedding	Aug 4, 2021	Graph ClassificationGraph Embedding	CodeCode Available	5
Neural Causal Graph Collaborative Filtering	Jul 10, 2023	Collaborative FilteringGraph 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
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning	Dec 16, 2021	Graph EmbeddingGraph Generation	CodeCode Available	5
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks	May 8, 2024	Graph ClassificationGraph Learning	CodeCode Available	5
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation	Jul 4, 2019	Graph ClassificationGraph Representation Learning	CodeCode Available	5
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?	Nov 5, 2019	Community DetectionGraph Embedding	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
GTNet: A Tree-Based Deep Graph Learning Architecture	Apr 27, 2022	Graph AttentionGraph Learning	CodeCode Available	5
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions	Feb 28, 2024	Graph Representation LearningRepresentation Learning	CodeCode Available	5
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness Perspective	Apr 25, 2024	Graph ClassificationGraph Embedding	CodeCode Available	5
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification	Apr 11, 2023	Graph Representation LearningNode Classification	CodeCode Available	5
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding	Jan 5, 2021	Graph Representation LearningRepresentation Learning	CodeCode Available	5
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning	Nov 1, 2023	Contrastive LearningGraph Learning	CodeCode Available	5
Towards Graph Representation Learning Based Surgical Workflow Anticipation	Aug 7, 2022	Graph Representation LearningRepresentation Learning	CodeCode Available	5
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning	Sep 7, 2018	Dynamic Link PredictionGraph Representation Learning	CodeCode Available	5
DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing	Oct 1, 2022	Dependency Parsinggraph construction	CodeCode Available	5
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs	Nov 3, 2023	Graph Representation LearningNode Classification	CodeCode Available	5
Heterogeneous Deep Graph Infomax	Nov 19, 2019	ClassificationClustering	CodeCode Available	5
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening	Jul 7, 2020	Graph Representation LearningRepresentation Learning	CodeCode Available	5
Hyperbolic Neural Networks	May 23, 2018	Graph Representation LearningNatural Language Inference	CodeCode Available	5
Topology Only Pre-Training: Towards Generalised Multi-Domain Graph Models	Nov 7, 2023	Contrastive LearningGraph Learning	CodeCode Available	5

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Benchmark Results

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