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Papers
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
AAAI 2026
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
ICML 2025
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
ICML 2025
Homomorphism Counts as Structural Encodings for Graph Learning
ICLR 2025
Structural Deep Encoding for Table Question Answering
ACL 2025
Effective Structural Encodings via Local Curvature Profiles
ICLR 2024
FairGT: A Fairness-aware Graph Transformer
IJCAI 2024
Graph Positional and Structural Encoder
ICML 2024
LGI-GT: Graph Transformers with Local and Global Operators Interleaving
IJCAI 2023
A Structure-Aware Argument Encoder for Literature Discourse Analysis
COLING 2022
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
ACL 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NeurIPS 2022
A Unified Encoding of Structures in Transition Systems
EMNLP 2021
Do Transformers Really Perform Badly for Graph Representation?
NeurIPS 2021
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification
EACL 2021
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
IJCAI 2020
Table Fact Verification with Structure-Aware Transformer
EMNLP 2020
Self-Attention with Structural Position Representations
EMNLP 2019