Репост из: Graph Machine Learning
Fresh picks from ArXiv
More ICML and KDD submissions and large body on mathematical graph theory 📖
ICML
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Neural Networks on Random Graphs
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Adaptive Graph Auto-Encoder for General Data Clustering
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Set2Graph: Learning Graphs From Sets
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games by Microsoft and group of William L. Hamilton
Learning to Simulate Complex Physics with Graph Networks by Deepmind + group of Jure Leskovec
KDD
Self-Enhanced GNN: Improving Graph Neural Networks UsingModel Outputs
Graph4Code: A Machine Interpretable Knowledge Graph for Code
Localized Flow-Based Clustering in Hypergraphs by group of Jon Kleinberg
WWW
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Graph Theory
Building large k-cores from sparse graphs
Distributed graph problems through an automata-theoretic lens
Computing the k Densest Subgraphs of a Graph
Seeing Far vs. Seeing Wide: Volume Complexity of Local Graph Problems
Planar graphs have bounded queue-number
Review
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
More ICML and KDD submissions and large body on mathematical graph theory 📖
ICML
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
Neural Networks on Random Graphs
Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Adaptive Graph Auto-Encoder for General Data Clustering
Computationally Tractable Riemannian Manifolds for Graph Embeddings
Set2Graph: Learning Graphs From Sets
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Deep Graph Mapper: Seeing Graphs through the Neural Lens
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games by Microsoft and group of William L. Hamilton
Learning to Simulate Complex Physics with Graph Networks by Deepmind + group of Jure Leskovec
KDD
Self-Enhanced GNN: Improving Graph Neural Networks UsingModel Outputs
Graph4Code: A Machine Interpretable Knowledge Graph for Code
Localized Flow-Based Clustering in Hypergraphs by group of Jon Kleinberg
WWW
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
Graph Theory
Building large k-cores from sparse graphs
Distributed graph problems through an automata-theoretic lens
Computing the k Densest Subgraphs of a Graph
Seeing Far vs. Seeing Wide: Volume Complexity of Local Graph Problems
Planar graphs have bounded queue-number
Review
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations