Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core Methods
Machine Learning
›
Core Methods
›
Graph Neural Networks
1127 directly classified papers
Papers per year
2006: 2
2008: 1
2009: 2
2010: 3
2011: 2
2012: 6
2013: 7
2014: 5
2015: 2
2016: 7
2017: 8
2018: 16
2019: 62
2020: 133
2021: 139
2022: 175
2023: 196
2024: 192
2025: 168
2026: 1
Papers
Learning Label Initialization for Time-Dependent Harmonic Extension.
IJCAI 2022
Inducing and Using Alignments for Transition-based AMR Parsing
NAACL 2022
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
NAACL 2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media
NAACL 2022
A Double-Graph Based Framework for Frame Semantic Parsing
NAACL 2022
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification
COLING 2022
GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification
COLING 2022
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
ACL 2022
An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism
ACL 2022
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction
ACL 2022
Using Graph-Based Methods to Augment Online Dictionaries of Endangered Languages
ACL 2022
Redundancy-Free Message Passing for Graph Neural Networks
NIPS 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
NIPS 2022
How Powerful are K-hop Message Passing Graph Neural Networks
NIPS 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
NIPS 2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning
NIPS 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
NIPS 2022
Evaluating Graph Generative Models with Contrastively Learned Features
NIPS 2022
Vision GNN: An Image is Worth Graph of Nodes
NIPS 2022
Equivariant Graph Hierarchy-Based Neural Networks
NIPS 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
NIPS 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
NIPS 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NIPS 2022
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
NIPS 2022
A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs
COLING 2022
<
1
…
26
27
28
…
46
>