Co-occurring keywords · papers mentioning both
Papers
Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
ACML 2023
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
AAAI 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
IJCAI 2023
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
Characterizing personalized effects of family information on disease risk using graph representation learning
MLHC 2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
AISTATS 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023
Deep Graph Structural Infomax
AAAI 2023
Directional diffusion models for graph representation learning
NeurIPS 2023
Disentangled Multiplex Graph Representation Learning
ICML 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
NeurIPS 2023
Don't Ignore Alienation and Marginalization: Correlating Fraud Detection
IJCAI 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
AISTATS 2023
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
CVPR 2023
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning
AAAI 2023
GALOPA: Graph Transport Learning with Optimal Plan Alignment
NeurIPS 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
AAAI 2023
Graph Contrastive Learning with Stable and Scalable Spectral Encoding
NeurIPS 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
NeurIPS 2023
Graph Propagation Transformer for Graph Representation Learning
IJCAI 2023
GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer
AAAI 2023
Heterogeneous Graph Masked Autoencoders
AAAI 2023
Hierarchical Transformer for Scalable Graph Learning
IJCAI 2023
Implications of sparsity and high triangle density for graph representation learning
AISTATS 2023