conftrace_

node classification

482 papers

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Co-occurring keywords

graph neural network (3962) link prediction (624) semi-supervised learning (2341) representation learning (6206) graph classification (212) graph representation learning (246) message passing (579) graph representation (360) graph convolutional network (658) network embedding (111)

Papers

Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios ACL 2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks EMNLP 2023
Graph Convolutional Kernel Machine versus Graph Convolutional Networks NIPS 2023
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection NIPS 2023
From Trainable Negative Depth to Edge Heterophily in Graphs NIPS 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NIPS 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data NIPS 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion NIPS 2023
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability NIPS 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition NIPS 2023
GSLB: The Graph Structure Learning Benchmark NIPS 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NIPS 2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NIPS 2023
Optimality of Message-Passing Architectures for Sparse Graphs NIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection NIPS 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NIPS 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NIPS 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs NIPS 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NIPS 2023
Tailoring Self-Attention for Graph via Rooted Subtrees NIPS 2023
Attribute and Structure Preserving Graph Contrastive Learning AAAI 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks AAAI 2023