Christos Faloutsos
24 papers · 2010–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (14)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(15)
👥
Mega-Team
(20)
🌱
Topic Pioneer
🏆
Grand Slam
🧬
Topic Evolution
🏆
Keyword Champion
(2)
⚡
Prolific Year
(5)
💎
Century Club
(24)
📈
Trend Setter
🗃️
Keyword Collector
(95)
Conferences
ICLR (5)
AAAI (4)
ACL (4)
EMNLP (3)
ICML (2)
NIPS (2)
IJCAI (1)
JMLR (1)
L4DC (1)
NAACL (1)
Top co-authors
Research topics
Keywords
anomaly detection
(3)
link prediction
(3)
graph neural network
(2)
retrieval-augmented generation
(2)
node classification
(2)
graph mining
(2)
few-shot learning
(1)
benchmark evaluation
(1)
active learning
(1)
self-supervised learning
(1)
online advertising
(1)
relational learning
(1)
graph theory
(1)
hyperparameter optimization
(1)
feature extraction
(1)
graph analysis
(1)
visual question answering
(1)
probabilistic modeling
(1)
maximum coverage
(1)
graph learning
(1)
Papers
PolyJoin: Semantic Multi-key Joinable Table Search in Data Lakes
NAACL 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
ACL 2025
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
ICML 2025
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
ICML 2025
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
EMNLP 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
NIPS 2024
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking
AAAI 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
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
ICLR 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
ICLR 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
NIPS 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
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Automatic Table Union Search with Tabular Representation Learning
ACL 2023
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
L4DC 2021
TellTail: Fast Scoring and Detection of Dense Subgraphs
AAAI 2020
Midas: Microcluster-Based Detector of Anomalies in Edge Streams
AAAI 2020
TensorCast: Forecasting Time-Evolving Networks with Contextual Information
IJCAI 2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
ACL 2018
Translation Invariant Word Embeddings
EMNLP 2015
Kronecker Graphs: An Approach to Modeling Networks
JMLR 2010