conftrace_

node representation

107 papers

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Co-occurring keywords

graph neural network (3962) representation learning (6206) graph representation learning (246) contrastive learning (4032) node classification (482) graph representation (360) message passing (579) self-supervised learning (3777) unsupervised learning (3264) graph convolutional network (658)

Papers

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks NIPS 2023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization NIPS 2023
Hierarchical Transformer for Scalable Graph Learning IJCAI 2023
K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs ACML 2023
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing AAAI 2022
Uncovering the Structural Fairness in Graph Contrastive Learning NIPS 2022
Continuous Temporal Graph Networks for Event-Based Graph Data NAACL 2022
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders IJCAI 2022
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering COLING 2022
Local Augmentation for Graph Neural Networks ICML 2022
Hypergraph Structure Learning for Hypergraph Neural Networks IJCAI 2022
GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures AISTATS 2022
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing AAAI 2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning NIPS 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction IJCAI 2022
Proximity Enhanced Graph Neural Networks with Channel Contrast IJCAI 2022
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples AAAI 2022
SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022
Graph Few-shot Learning with Task-specific Structures NIPS 2022
SDGNN: Learning Node Representation for Signed Directed Networks AAAI 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings ICML 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021
Universal Graph Convolutional Networks NIPS 2021
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks ICML 2021