Fixed C++ RTTI for header only classes (#28624)

### Details:
- Regression after
#28555

src/frontends/common/include/openvino/frontend/decoder.hpp

@@ -82,6 +82,9 @@ class FRONTEND_API DecoderBase : public IDecoder {
 
     /// \brief Get node name
     virtual const std::string& get_op_name() const = 0;
+
+    /// \brief Destructor
+    virtual ~DecoderBase();
 };
 
 }  // namespace frontend

src/frontends/common/include/openvino/frontend/graph_iterator.hpp

@@ -45,14 +45,10 @@ class FRONTEND_API GraphIterator : ::ov::RuntimeAttribute {
     virtual std::vector<std::string> get_output_names() const = 0;
 
     /// \brief Returns a map from internal tensor name to (user-defined) external name for inputs
-    virtual std::map<std::string, std::string> get_input_names_map() const {
-        return {};
-    }
+    virtual std::map<std::string, std::string> get_input_names_map() const;
 
     /// \brief Returns a map from internal tensor name to (user-defined) external name for outputs
-    virtual std::map<std::string, std::string> get_output_names_map() const {
-        return {};
-    }
+    virtual std::map<std::string, std::string> get_output_names_map() const;
 };
 
 }  // namespace tensorflow

src/frontends/common/src/decoder.cpp

@@ -7,3 +7,5 @@
 using namespace ov::frontend;
 
 IDecoder::~IDecoder() = default;
+
+DecoderBase::~DecoderBase() = default;

src/frontends/common/src/graph_iterator.cpp

@@ -0,0 +1,15 @@
+// Copyright (C) 2018-2025 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "openvino/frontend/graph_iterator.hpp"
+
+using namespace ov::frontend::tensorflow;
+
+std::map<std::string, std::string> GraphIterator::get_input_names_map() const {
+    return {};
+}
+
+std::map<std::string, std::string> GraphIterator::get_output_names_map() const {
+    return {};
+}

src/frontends/common/src/hash_table.cpp

@@ -6,4 +6,4 @@
 
 using namespace ov::frontend;
 
-HashTable::~HashTable(){};
+HashTable::~HashTable() = default;

src/frontends/pytorch/src/frontend.cpp

@@ -397,7 +397,7 @@ ov::frontend::InputModel::Ptr FrontEnd::load_impl(const std::vector<ov::Any>& va
     size_t extra_variants_num = variants.size() > 0 && variants[variants.size() - 1].is<bool>() ? 1 : 0;
     FRONT_END_GENERAL_CHECK(variants.size() == 1 + extra_variants_num,
                             "PyTorch Frontend supports exactly one parameter in model representation, got ",
-                            std::to_string(variants.size()),
+                            variants.size(),
                             " instead.");
     FRONT_END_GENERAL_CHECK(variants[0].is<std::shared_ptr<IDecoder>>(),
                             "PyTorch Frontend doesn't support provided model type. Please provide supported model "