Guojie Song
25 papers · 2018–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(119)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
π
Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(20)
Core Methods
(16)
Deep Learning
(14)
Architectures
(11)
Artificial Intelligence
(9)
Core AI
(8)
Optimization & Theory
(5)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types Β· Machine Learning
(3)
Resources & Methods
(3)
Data Science & Analytics
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Keywords
graph neural network
(6)
large language model
(5)
network embedding
(5)
graph convolutional network
(4)
graph representation
(4)
representation learning
(3)
value alignment
(3)
message passing
(3)
graph transformer
(3)
large reasoning model
(2)
transfer learning
(2)
node classification
(2)
domain adaptation
(2)
heterogeneous graph
(2)
linear complexity
(2)
graph representation learning
(2)
heterogeneous information network
(2)
graph embedding
(2)
feature learning
(2)
node representation
(2)
Papers
FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models
ACL 2026
NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons
ACL 2026
EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs
IJCAI 2025
Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models
ACL 2025
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
AAAI 2025
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
IJCAI 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NeurIPS 2024
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
ACL 2024
Hierarchical Transformer for Scalable Graph Learning
IJCAI 2023
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach
IJCAI 2023
Versatile Multi-stage Graph Neural Network for Circuit Representation
NeurIPS 2022
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
ICLR 2021
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
NeurIPS 2021
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks
AAAI 2021
Heterogeneous Graph Structure Learning for Graph Neural Networks
AAAI 2021
Domain Adaptive Classification on Heterogeneous Information Networks
IJCAI 2020
GraLSP: Graph Neural Networks with Local Structural Patterns
AAAI 2020
Multi-Component Graph Convolutional Collaborative Filtering
AAAI 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
AAAI 2020
DANE: Domain Adaptive Network Embedding
IJCAI 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
IJCAI 2019
SepNE: Bringing Separability to Network Embedding
AAAI 2019
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks
IJCAI 2019
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
IJCAI 2018
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach
IJCAI 2018