Awesome Knowledge Graphs

Key papers

• Graph Neural Networks in Modern AI-aided Drug Discovery (2025)
  Odin Zhang et al.
  8.75
• Applications of Large Models in Medicine (2025)
  YunHe Su et al.
  7.19
• Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings (2021)
  Athanasios Efthymiou et al.
  6.39
• Generalizing Graph Foundation Models via Hyperbolic Retrieval-Augmented Generation (2026)
  Yifan Jin et al.
  4.39
• ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs (2026)
  Xianlin Zeng et al.
  4.39
• LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems (2026)
  Arijit Khan et al.
  4.39
• GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning (2024)
  Dan Kalifa et al.
  4.36
• Instance Discrimination for Link Prediction (2026)
  Valentin Cuzin-Rambaud (SyCoSMA et al.
  4.33
• Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning (2026)
  Yi Huang et al.
  4.33
• Graph Alignment Topology as an Inductive Bias for Grounding Detection (2026)
  Paul Landes et al.
  4.33
• Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids (2026)
  Massimiliano Lupo Pasini et al.
  4.33
• Fuzzy, Neutrosophic, and Uncertain Graph Theory: Properties and Applications (2026)
  Takaaki Fujita et al.
  4.33
• Incorporating Deep Learning Design in Database Queries (2026)
  Yuval Lev Lubarsky et al.
  4.33
• Advancing Graph Few-Shot Learning via In-Context Learning (2026)
  Renchu Guan et al.
  4.33
• Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning (2026)
  Xuanting Xie et al.
  4.33
• Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback (2026)
  Gen Li et al.
  4.33
• L2IR: Revealing Latent Intent in Graph Fraud Detection (2026)
  Jinsheng Guo et al.
  4.33
• TED: Related Party Transaction guided Tax Evasion Detection on Heterogeneous Graph (2026)
  Yiming Xu et al.
  4.33
• Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection (2026)
  Zhixing Zuo et al.
  4.33
• SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching (2026)
  Inwon Kang et al.
  4.33
• UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs (2025)
  Yufei He et al.
  4.30
• A knowledge extrapolation model for attack inference based on graph attention networks and relation mapping (2026)
  Weiwu Ren et al.
  4.26
• Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models (2026)
  Anca Muresan et al.
  3.98
• Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud (2026)
  Rongkun Cui et al.
  3.98
• Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures (2025)
  Vijay Prakash Dwivedi et al.
  3.86
• Recent Advances in Malware Detection: Graph Learning and Explainability (2025)
  Hossein Shokouhinejad et al.
  3.64
• FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks (2025)
  Jiarui Song et al.
  3.59
• GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization (2026)
  Xingyu Li
  3.45
• DeTox-Fed: Detecting Toxic Conversations in the Fediverse with Federated Graph Neural Networks (2026)
  Pantelitsa Leonidou et al.
  3.45
• Causal Graph Neural Networks for Healthcare (2025)
  Munib Mesinovic et al.
  3.21
• HGEN: Heterogeneous Graph Ensemble Networks (2025)
  Jiajun Shen et al.
  3.10
• HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery (2025)
  Haoran Jiang et al.
  2.99
• Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs (2024)
  Martin Hanik and Gabriele Steidl and Christoph von Tycowicz
  2.92
• Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data (2025)
  Zhong Guan et al.
  2.87
• Adaptive Graph Unlearning (2025)
  Pengfei Ding et al.
  2.87
• Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs (2025)
  Sharad Duwal et al.
  2.87
• GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction (2025)
  Yoshitaka Inoue et al.
  2.82
• LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection (2025)
  Tianyi Ma et al.
  2.76
• EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning (2025)
  Shengda Zhuo et al.
  2.71
• Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy (2025)
  Ruizhan Xue et al.
  2.71
• Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment (2025)
  Ruyi Ding et al.
  2.71
• GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection (2025)
  Saba Fathi Rabooki et al.
  2.65
• GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design (2025)
  Yuanfu Sun et al.
  2.65
• Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning (2025)
  Haoran Song et al.
  2.65
• MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation (2024)
  Sanggeon Yun et al.
  2.26
• TRACE-DDI: A Hybrid Framework of Transformer–GAT Context Encoder and Pathway-Anchored Knowledge Graphs for DDI Prediction (2026)
  Junku Kim et al.
  2.00
• Collaborative Path Optimization for Technology-Driven Innovation in the Sports Industry Using Enhanced Graph Attention Networks (2026)
  Zhaoyin Jiang et al.
  2.00
• ARN-GAT: an adaptive node and relation modeling framework for patent knowledge graph topic identification (2026)
  Weizhong Liu et al.
  2.00
• Ensembles of Graph Attention Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance (2026)
  Shunichiro Tomura et al.
  2.00
• Domain-Adaptive Sparse Graph Attention Network for Neural Resource Recommendation in Business Language Learning (2026)
  Zhengyan Deng
  2.00
• GATGrasp: Learning Task-Aware Affordance Grasp for Robotic Tool Usage With Knowledge Graph Attention Mechanism (2026)
  Xungao Zhong et al.
  2.00
• Hybrid Graph Attention Network and XGBoost Framework for Interpretable Molecular Toxicity Prediction (2026)
  S. May et al.
  2.00
• Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction (2026)
  Filip Kronstr\"om et al.
  1.94
• CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts (2026)
  Peiyuan Li et al.
  1.94
• Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA (2026)
  Ankit Grover et al.
  1.89
• A Cross-graph Tuning-free GNN Prompting Framework (2026)
  Yaqi Chen et al.
  1.89
• Graph Topology Information Enhanced Heterogeneous Graph Representation Learning (2026)
  He Zhao et al.
  1.89
• Toward a universal foundation model for graph-structured data (2026)
  Sakib Mostafa et al.
  1.89
• GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback (2026)
  Ruiyao Xu et al.
  1.89
• NOMAD: Generating Embeddings for Massive Distributed Graphs (2026)
  Aishwarya Sarkar et al.
  1.89