Awesome Knowledge Graphs

Teachy Mini: Development and Preliminary Evaluation of a Knowledge-Based Generative Social Robot for Higher Education (2026)

Stephan Vonschallen et al.

4.95

InductWave: Inductive Multi-Hop Logical Query Answering on Knowledge Graphs (2026)

Mayank Kharbanda et al.

4.33

Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing (2026)

Duantengchuan Li et al.

4.33

Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science (2026)

Sutanay Choudhury et al.

4.33

Symbiosis-Inspired Knowledge Distillation for Incremental Object Detection (2026)

Mingyue Zeng et al.

4.33

CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs (2026)

Humaira Anzum et al.

4.33

How Far Can Root Cause Analysis Go on Real-World Telemetry Data? (2026)

Athira Gopal et al.

4.33

Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System (2026)

David Krongauz et al.

4.33

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation (2026)

Jiahao Zhao et al.

4.33

Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA (2026)

Takato Yasuno

4.33

MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning (2026)

Xiangjun Shi et al.

4.33

A knowledge extrapolation model for attack inference based on graph attention networks and relation mapping (2026)

Weiwu Ren et al.

4.15

Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning (2026)

Ajay Patel et al.

3.45

Towards an Automated Test of LLM Security Knowledge (2026)

Shufan Chai et al.

1.94

TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs (2026)

Federico Valletta et al.

1.94

DURENDAL: Graph deep learning framework for temporal heterogeneous networks (2023)

Manuel Dileo et al.

0.22

Stationary signal processing on graphs (2016)

Nathana\"el Perraudin et al.

—

Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs (2016)

Baichuan Zhang et al.

—

Learning the Semantics of Structured Data Sources (2016)

Mohsen Taheriyan et al.

—

Spectral Theory of Unsigned and Signed Graphs. Applications to Graph Clustering: a Survey (2016)

Jean Gallier

—

Scalable Generation of Scale-free Graphs (2016)

Peter Sanders and Christian Schulz

—

A knowledge representation meta-model for rule-based modelling of signalling networks (2016)

Adrien Basso-Blandin (LIP et al.

—

Bootstrap percolation on geometric inhomogeneous random graphs (2016)

Christoph Koch and Johannes Lengler

—

Reconstructing undirected graphs from eigenspaces (2016)

Yohann De Castro and Thibault Espinasse and Paul Rochet

—

Automatic Knowledge Base Evolution by Learning Instances (2016)

Sundong Kim

—

Deep Graphs - a general framework to represent and analyze heterogeneous complex systems across scales (2016)

Dominik Traxl et al.

—

Maximizing the Weighted Number of Spanning Trees: Near-$t$-Optimal Graphs (2016)

Kasra Khosoussi et al.

—

One-class classifiers based on entropic spanning graphs (2016)

Lorenzo Livi et al.

—

Symbolic Knowledge Extraction using {\L}ukasiewicz Logics (2016)

Carlos Leandro

—

Liposomes versus metallic nanostructures: differences in the process of knowledge translation in cancer (2016)

David Fajardo-Ortiz et al.

—

KOGNAC: Efficient Encoding of Large Knowledge Graphs (2016)

Jacopo Urbani et al.

—

Supervised and Unsupervised Ensembling for Knowledge Base Population (2016)

Nazneen Fatema Rajani and Raymond J. Mooney

—

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions (2016)

Han Xiao et al.

—

A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion (2016)

Johannes Welbl et al.

—

RHOG: A Refinement-Operator Library for Directed Labeled Graphs (2016)

Santiago Onta\~n\'on

—

On the representation and embedding of knowledge bases beyond binary relations (2016)

Jianfeng Wen et al.

—

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs (2016)

Pinghui Wang et al.

—

A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations (2016)

Pushpendre Rastogi et al.

—

Active Learning On Weighted Graphs Using Adaptive And Non-adaptive Approaches (2016)

Eyal En Gad et al.

—

Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling (2016)

Byungsoo Kim et al.

—

Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs (2016)

Guyue Han and Harish Sethu

—

Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information (2016)

Yuanzhe Zhang et al.

—

Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge (2016)

Luciano Serafini and Artur d'Avila Garcez

—

Neighborhood Mixture Model for Knowledge Base Completion (2016)

Dat Quoc Nguyen et al.

—

STransE: a novel embedding model of entities and relationships in knowledge bases (2016)

Dat Quoc Nguyen et al.

—

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs (2016)

Annamalai Narayanan et al.

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Modularity of regular and treelike graphs (2016)

Colin McDiarmid and Fiona Skerman

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Generic Statistical Relational Entity Resolution in Knowledge Graphs (2016)

Jay Pujara and Lise Getoor

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Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies (2016)

Michael Cochez et al.

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Limit theorems for eigenvectors of the normalized Laplacian for random graphs (2016)

Minh Tang et al.

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World Knowledge as Indirect Supervision for Document Clustering (2016)

Chenguang Wang et al.

—

A Neural Knowledge Language Model (2016)

Sungjin Ahn et al.

—

Generative Knowledge Transfer for Neural Language Models (2016)

Sungho Shin et al.

—

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches (2016)

Dongwoo Kim et al.

—

KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm (2016)

Han Xiao et al.

—

Knowledge Representation Analysis of Graph Mining (2016)

Matthias van der Hallen et al.

—

The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain (2016)

Trey Grainger et al.

—

Relational Models (2016)

Volker Tresp and Maximilian Nickel

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Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks (2016)

Yun-Nung Chen et al.

—

Social Learning over Weakly-Connected Graphs (2016)

Hawraa Salami et al.

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Awesome Knowledge Graphs

Datasets & benchmarks

Key papers

Knowledge Graphs

Awesome Knowledge Graphs

Datasets & benchmarks

Key papers