SOTAVerified

Network Embedding

Network Embedding, also known as "Network Representation Learning", is a collective term for techniques for mapping graph nodes to vectors of real numbers in a multidimensional space. To be useful, a good embedding should preserve the structure of the graph. The vectors can then be used as input to various network and graph analysis tasks, such as link prediction

Source: Tutorial on NLP-Inspired Network Embedding

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 403 papers

TitleStatusHype
MUSE: Multi-faceted Attention for Signed Network Embedding—0
Network Embedding via Deep Prediction Model—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Edgeless-GNN: Unsupervised Representation Learning for Edgeless NodesCode0
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network EmbeddingCode0
Dynamic Network Embedding Survey—0
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingCode0
Progresses and Challenges in Link Prediction—0
Adversarial Attack on Network Embeddings via Supervised Network PoisoningCode0
Learning multi-resolution representations of research patterns in bibliographic networksCode0
NEMR: Network Embedding on Metric of Relation—0
Exact Recovery of Community Structures Using DeepWalk and Node2vec—0
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms—0
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search—0
Signed Graph Diffusion Network—0
GAHNE: Graph-Aggregated Heterogeneous Network Embedding—0
Unifying Homophily and Heterophily Network Transformation via Motifs—0
Adversarial Attacks on Deep Graph Matching—0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
User-based Network Embedding for Collective Opinion Spammer Detection—0
Multi-View Dynamic Heterogeneous Information Network Embedding—0
Toward Edge-Centric Network Embeddings—0
Embedding Node Structural Role Identity into Hyperbolic Space—0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques—0
Deep Kernel Supervised Hashing for Node Classification in Structural Networks—0
Show:102550
← PrevPage 8 of 17Next →

No leaderboard results yet.