Christos Faloutsos
24 papers · 2010–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (54) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Century Club Β· Bronze
π
Renaissance Researcher
(8)
ποΈ
Keyword Collector
(126)
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Trend Setter
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(13)
Core Methods
(9)
Architectures
(7)
Artificial Intelligence
(6)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
Knowledge & Reasoning
(3)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Applications
(3)
Core AI
(3)
Learning Paradigms
(3)
Mathematics
(3)
Representation
(3)
Keywords
link prediction
(6)
graph neural network
(5)
anomaly detection
(3)
node classification
(3)
graph mining
(2)
model selection
(2)
graph learning
(2)
large language model
(2)
retrieval-augmented generation
(2)
few-shot learning
(1)
relational learning
(1)
online advertising
(1)
graph theory
(1)
hyperparameter optimization
(1)
benchmark evaluation
(1)
active learning
(1)
self-supervised learning
(1)
feature extraction
(1)
graph analysis
(1)
visual question answering
(1)
Papers
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
ICML 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
ACL 2025
PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes
NAACL 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
NeurIPS 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
ICLR 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
ICLR 2024
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
EMNLP 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 2024
Automatic Table Union Search with Tabular Representation Learning
ACL 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
NeurIPS 2023
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
ICLR 2023
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs
AAAI 2023
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
L4DC 2021
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI 2020
TellTail: Fast Scoring and Detection of Dense Subgraphs
AAAI 2020
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
ACL 2018
TensorCast: Forecasting Time-Evolving Networks with Contextual Information
IJCAI 2018
Translation Invariant Word Embeddings
EMNLP 2015
Kronecker Graphs: An Approach to Modeling Networks
JMLR 2010