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← Authors

Guojie Song

25 papers · 2018–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸƒ Academic Marathon (7)
πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (23) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (106)

Conferences

IJCAI (10) AAAI (7) ACL (4) NIPS (3) ICLR (1)

Top co-authors

Haoran Ye (5) Lun Du (5) Shuwen Yang (5) Wenhao Zhu (5) Chuan Shi (4) Ziyao Li (4) Xin Zhang (4) Yilun Jin (4) Yuanyi Ren (3) Yun Wang (3)

Keywords

graph neural network (6) network embedding (5) large language model (5) graph convolutional network (4) graph representation (4) representation learning (3) value alignment (3) graph transformer (3) message passing (3) domain adaptation (2) transfer learning (2) heterogeneous graph (2) node classification (2) large reasoning model (2) node representation (2) graph embedding (2) linear complexity (2) graph representation learning (2) heterogeneous information network (2) collaborative filtering (1)

Papers

NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons ACL 2026 FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models ACL 2026 Generative Psycho-Lexical Approach for Constructing Value Systems in Large Language Models ACL 2025 EAVIT: Efficient and Accurate Human Value Identification From Text Data via LLMs IJCAI 2025 Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models AAAI 2025 ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024 AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers IJCAI 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024 KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach IJCAI 2023 Hierarchical Transformer for Scalable Graph Learning IJCAI 2023 Versatile Multi-stage Graph Neural Network for Circuit Representation NIPS 2022 Conformation-Guided Molecular Representation with Hamiltonian Neural Networks ICLR 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 Deep Molecular Representation Learning via Fusing Physical and Chemical Information NIPS 2021 Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets AAAI 2020 GraLSP: Graph Neural Networks with Local Structural Patterns AAAI 2020 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Domain Adaptive Classification on Heterogeneous Information Networks IJCAI 2020 GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks IJCAI 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks IJCAI 2019 DANE: Domain Adaptive Network Embedding IJCAI 2019 SepNE: Bringing Separability to Network Embedding AAAI 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