Co-occurring keywords · papers mentioning both
Papers
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
AAAI 2022
Provably expressive temporal graph networks
NeurIPS 2022
Proximity Enhanced Graph Neural Networks with Channel Contrast
IJCAI 2022
Pseudo-Riemannian Graph Convolutional Networks
NeurIPS 2022
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification
NeurIPS 2022
Pure Transformers are Powerful Graph Learners
NeurIPS 2022
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
AAAI 2022
Query Embedding on Hyper-Relational Knowledge Graphs
ICLR 2022
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
NeurIPS 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network
IJCAI 2022
ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
EMNLP 2022
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks
IJCAI 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NeurIPS 2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
AAAI 2022
Redundancy-Free Message Passing for Graph Neural Networks
NeurIPS 2022
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
NeurIPS 2022
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
IJCAI 2022
Regularized Molecular Conformation Fields
NeurIPS 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
AAAI 2022
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
ICLR 2022
Relational Triple Extraction: One Step is Enough
IJCAI 2022
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
NAACL 2022
RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction
EMNLP 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
NeurIPS 2022