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

Graph Attention Retrospective JMLR 2023
Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of 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
Barlow Graph Auto-Encoder for Unsupervised Network Embedding AISTATS 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs EMNLP 2023
Graph Convolutional Kernel Machine versus Graph Convolutional Networks NIPS 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NIPS 2023
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection NIPS 2023
Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks ACML 2023
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation UAI 2023
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NIPS 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs ICML 2023
Random Walk Conformer: Learning Graph Representation from Long and Short Range AAAI 2023
Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios ACL 2023
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network AAAI 2023
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering AAAI 2023
Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023
Graph Neural Convection-Diffusion with Heterophily IJCAI 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023