Awesome Social & Information Networks
Social & Information Networks is one of the most active areas in Awesome AI Agents β 60 papers in this collection. A strong starting point is "Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks".
Key papers
- Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks (2026)Mo Shakiba et al.6.23
- Adversarial Creation and Detection of AI-Generated Social Bot Content (2026)Mykola Trokhymovych et al.5.89
- Trait, Not State: The Durability of Reading Identity in Social Highlighting (2026)Kazuki Nakayashiki et al.5.89
- Context-aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs (2026)Inoussa Mouiche et al.5.58
- Leveraging Social Media Data for COVID-19 Studies (2026)Nur Hafieza Ismail et al.5.49
- Neural Variability Enhances Artificial Network Robustness (2026)Robin Preble et al.5.01
- SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting (2026)Jafar Bakhshaliyev et al.5.01
- PH-KAN: Port-Hamiltonian Kolmogorov-Arnold Network (2026)Achraf El Messaoudi (UMLP et al.5.01
- BRIDGE: Biological Evidence Refinement and Heterogeneous Dynamic Gating for Gene Regulatory Networks (2026)Ziyang Dong et al.5.01
- JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics (2026)Guillaume Letellier (LPCC) et al.5.01
- Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts (2026)Xu Li et al.4.39
- D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection (2026)Ghazal Ghajari et al.4.39
- Hyperdimensional computing for structured querying on tabular data embeddings (2026)Sebasti\'an Bugedo et al.4.39
- PostDeg: Placement Beats Parameterization in LayerNorm GNNs (2026)Yash Tomar et al.4.39
- Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs (2026)Sirui Zhang et al.4.39
- CANN-EUCLID: unsupervised constitutive artificial neural network model discovery from full-field data (2026)Benjamin Alheit et al.4.39
- Graph Structured Combinatorial Semi-Bandit with Nonlinear Reward Associations through Separable Signals (2026)Christoph Bauschmann et al.4.39
- Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks (2026)Junyong Cao et al.4.39
- Contextual Bandits for Maximizing Stimulated Word-of-Mouth Rewards (2026)Ahmed Sayeed Faruk et al.4.39
- Towards a Unified Generative Model for Scarce Time Series with Domain Experts (2026)Zihao Yao et al.4.39
- Provenance-Enhanced Statements in Knowledge Graphs (2026)Fabio Vitali et al.4.39
- Feature Attribution in Directed Acyclic Graphs Using Edge Intervention (2026)Qiheng Sun et al.4.39
- Guiding Federated Graph Recommendation with LLM-encoded knowledge (2026)Thi Minh Chau Nguyen et al.4.39
- Ricci-Filtration: Boosting Retrieval-Augmented Generation Reranker to Query-Answer Tasks by Discrete Ricci Flow (2026)Tian Qin et al.4.39
- CIWI-CKT: Chaos-Informed Wave Interference Feature Fusion and Cross-City Knowledge Transfer for Traffic Flow Forecasting (2026)Abdul Joseph Fofanah et al.4.39
- Overcoming the Impedance Mismatch: A Theoretical Roadmap for Fusing Foundation Models and Knowledge Graphs (2026)Sahil Rajesh Dhayalkar4.39
- Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression (2026)Nguyen Linh Dan Le4.39
- Biarchetype analysis for univariate functional data. An application to macroeconomic financial time series (2026)Aleix Alcacer et al.4.39
- Model Graph Inductive Learning for Knowledge Graph Completion (2026)Mohommad Esmaei Khani et al.4.39
- TCHG: Tri-Trust Conditioned Heterogeneous Graph Learning for Reliable Dynamic Trust Prediction (2026)Bohao Liao et al.4.39
- How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations (2026)Eduardo Ferreira da Silva et al.4.39
- Attention Asymmetry in AI Layoff Discourse on X: A Computational Analysis of Capital vs Labour Amplification (2026)Joy Bose4.33
- GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing (2026)Ming Wang et al.3.51
- SPIN: Decentralized Swarm Control via Tensorized Policy Coordination (2026)Zhaowen Fan3.51
- Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces (2026)Han-Teng Liao et al.3.51
- Context-Aware Multimodal Claim Verification in Spoken Dialogues (2026)Chaewan Chun et al.3.51
- A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators (2026)Amna Amjid et al.3.51
- ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation (2026)Dongdong Nian et al.3.51
- NEST3D: A High-Resolution Multimodal Dataset of Sociable Weaver Tree Nests (2026)Constanza A. Molina Catricheo et al.3.51
- CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict (2026)Yanhui Sun et al.3.45
- Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals (2026)Ferdaus Anam Jibon et al.3.39
- Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation (2025)Jiaying Wu et al.2.62
- RIDGECUT: Learning Graph Partitioning with Rings and Wedges (2025)Qize Jiang et al.2.34
- Scalable Graph Condensation with Evolving Capabilities (2025)Shengbo Gong et al.2.18
- $\texttt{SynC}$: Synergistic Boosting of Structure and Representation for Deep Graph Clustering (2026)Shifei Ding et al.2.00
- Shift Detection and Adaptation for Network Intrusion Detection (2026)Ehssan Mousavipour et al.2.00
- Representing Higher-Order Networks: A Survey of Graph-Based Frameworks (2026)Takaaki Fujita et al.2.00
- Automatic Construction of a Legal Citation Graph from 100 Million Ukrainian Court Decisions: Large-Scale Extraction, Topological Analysis, and Ontology-Driven Clustering (2026)Volodymyr Ovcharov2.00
- UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models (2026)Hyunju Kang et al.2.00
- Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks (2026)Haoji Hu et al.2.00
- An Adaptive Data cleaning Framework for Noisy Label Detection (2026)Chen-Hsuan Fang et al.2.00
- LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks (2026)Zhongyuan Wang et al.2.00
- When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support (2026)Drishti Goel et al.2.00
- Quantile-Free Uncertainty Quantification in Graph Neural Networks (2026)Soyoung park et al.1.94
- Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery (2026)Yulin Xu et al.1.94
- SP-GCRL: Influence Maximization on Incomplete Social Graphs (2026)Haohua Niu et al.1.94
- Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks (2026)Derek Regier et al.1.94
- Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification (2026)Aydin Wells et al.1.94
- G-Loss: Graph-Guided Fine-Tuning of Language Models (2026)Aditya Sharma et al.1.89
- Can Graph Foundation Models Generalize Over Architecture? (2026)Benjamin Gutteridge et al.1.83