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Deep Learning
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Graph Neural Networks
4,495 papers
Papers per year
2006: 3
2009: 1
2010: 1
2011: 3
2012: 6
2013: 4
2014: 3
2015: 2
2016: 13
2017: 23
2018: 60
2019: 347
2020: 504
2021: 663
2022: 625
2023: 714
2024: 676
2025: 528
2026: 319
Papers
MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
EMNLP 2023
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation
EMNLP 2023
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network
EMNLP 2023
Content- and Topology-Aware Representation Learning for Scientific Multi-Literature
EMNLP 2023
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
EMNLP 2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
EMNLP 2023
Conversational Semantic Parsing using Dynamic Context Graphs
EMNLP 2023
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
EMNLP 2023
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
EMNLP 2023
Beyond Detection: A Defend-and-Summarize Strategy for Robust and Interpretable Rumor Analysis on Social Media
EMNLP 2023
Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need
EMNLP 2023
Distance-Based Propagation for Efficient Knowledge Graph Reasoning
EMNLP 2023
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
EMNLP 2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
EMNLP 2023
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition
EMNLP 2023
ORANGE: Text-video Retrieval via Watch-time-aware Heterogeneous Graph Contrastive Learning
EMNLP 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
EMNLP 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
EMNLP 2023
InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution
EMNLP 2023
Complexity-Guided Curriculum Learning for Text Graphs
EMNLP 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
EMNLP 2023
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection
EMNLP 2023
Exploring Graph Pre-training for Aspect-based Sentiment Analysis
EMNLP 2023
KAPALM: Knowledge grAPh enhAnced Language Models for Fake News Detection
EMNLP 2023
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
EMNLP 2023
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