E²GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks

Conference paper

Effective Data Selection and Replay for Unsupervised Continual Learning

Conference paper

Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense

Conference paper

GradGCL: Gradient Graph Contrastive Learning

Conference paper

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks

Conference paper

Path-based Link Prediction on Hyper-relational Knowledge Graph

Conference paper

Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks

Conference paper

SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph

Conference paper

Incremental Tabular Learning on Heterogeneous Feature Space

Article

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields

Conference paper

Message Function Search for Knowledge Graph Embedding

Conference paper

Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising

Conference paper

Black-box Adversarial Attack and Defense on Graph Neural Networks

Conference paper

Revisiting Injective Attacks on Recommender Systems

Conference paper

AutoGEL: An Automated Graph Neural Network with Explicit Link Information

Conference paper

Efficient Relation-Aware Scoring Function Search for Knowledge Graph Embedding

Conference paper

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection

Conference paper

Searching to Sparsify Tensor Decomposition for N-ary Relational Data

Conference paper

Relation extraction via domain-aware transfer learning

Conference paper

Transfer Learning Via Feature Isomorphism Discovery

Conference paper